DOP-C02 AWS Certified DevOps Engineer - Professional Questions and Answers

Increase the memory of the Lambda function to give the function the ability to process large files from the S3 bucket.

Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket

Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function

Provision space in the /tmp folder of the Lambda function to give the function the ability to process large files from the S3 bucket

Configure the Datapoints to Alarm value to be 3 out of 12. Configure the alarm to treat missing data as breaching the threshold. Add an AWS Systems Manager action to stop the instance when the alarm enters the ALARM state.

Configure the Datapoints to Alarm value to be 3 out of 12. Configure the alarm to treat missing data as not breaching the threshold. Add an EC2 action to stop the instance when the alarm enters the ALARM state.

Configure the Datapoints to Alarm value to be 9 out of 12. Configure the alarm to treat missing data as breaching the threshold. Add an EC2 action to stop the instance when the alarm enters the ALARM state.

Configure the Datapoints to Alarm value to be 9 out of 12. Configure the alarm to treat missing data as not breaching the threshold. Add an AWS Systems Manager action to stop the instance when the alarm enters the ALARM state.

Remove the AdministratorAccess policy. Assign the ReadOnIyAccess managed IAM policy to the developer role. Instruct the developers to use the CloudFormationDeployment role as a CloudFormation service role when the developers deploy new stacks.

Update the trust of CloudFormationDeployment role to allow the developer IAM role to assume the CloudFormationDepoyment role.

Configure the IAM to be to get and pass the CloudFormationDeployment role ifcloudformation actions for resources,

Update the trust Of the CloudFormationDepoyment role to anow the cloudformation.amazonaws.com AWS principal to perform the iam:AssumeR01e action

Remove me Administratoraccess policy. Assign the ReadOnly/Access managed IAM policy to the developer role Instruct the developers to assume the CloudFormatondeployment role when the developers new stacks

Add an IAM policy to CloudFormationDeplyment to allow cloudformation * on an Add a policy that allows the iam.PassR01e action for ARN of if iam PassedT0Service equal cloudformation.amazonaws.com

Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function.

Add an AfterAlIowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond.

Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function.

Add a validateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready.

Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.

Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.

Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Move the environment variables to the 'db.-deploy-bucket ‘Amazon S3 bucket, add a prebuild stage to download then export the variables.

Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.

Create an Amazon EventBridge rule in the automation account to send account creation events to the default event bus in the services accounts. Update the default event bus in the services accounts to allow events from the automation account.

Create a custom Amazon EventBridge event bus in the services accounts. Update the custom event bus to allow events from the automation account. Create an EventBridge rule in the services account that directly listens to CloudTrail events from the automation account.

Create a custom Amazon EventBridge event bus in the automation account and the services accounts. Create an EventBridge rule and policy that connects the custom event buses that are in the automation account and the services accounts.

Create a custom Amazon EventBridge event bus in the automation account. Create an EventBridge rule and policy that connects the custom event bus to the default event buses in the services accounts.

Basic scanning with EventBridge for Inspector findings and Lambda to reject manual approval if critical vulnerabilities found.

Enhanced scanning, Lambda invokes Inspector for SBOM, exports to S3, Athena queries SBOM, rejects manual approval on critical findings.

Enhanced scanning, EventBridge listens to Detective scan findings, Lambda rejects manual approval on critical vulnerabilities.

Enhanced scanning, EventBridge listens to Inspector scan findings, Lambda rejects manual approval on critical vulnerabilities.

Update the SAML assertion to pass the user's team name. Update the IAM role's trust policy to add an access-team session tag that has the team name.

Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Create an approval rule template for each account. Associate the template with all repositories. Add the "aws:ResourceTag/access-team":"$ ;{aws:PrincipaITag/access-team}" condition to the approval rule template.

For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Attach an SCP to the accounts. Include the following statement:

Create an IAM permissions boundary in each account. Include the following statement:

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Use AWS CloudFormation StackSets to provision IAM policies in each account to deny access to restricted AWS services. In each account configure AWS Config rules that ensure that the policies are attached to IAM principals in the account.

Use AWS Control Tower to provision the accounts into OUs within the organization Configure AWS Control Tower to enable AWS IAM identity Center (AWS Single Sign-On). Configure 1AM Identity Center to provide administrative access Include deny policies on user roles for restricted AWS services.

Place all the accounts under a new top-level OU within the organization Create an SCP that denies access to restricted AWS services Attach the SCP to the OU.

Create an SCP that allows access to only approved AWS services. Attach the SCP to the root OU of the organization. Remove the FullAWSAccess SCP from the root OU of the organization.

Create a CloudFormation template that contains the AWS Config rules and remediation actions. Deploy the template from the Organizations management account by using CloudFormation StackSets.

Create an AWS Config conformance pack that contains the AWS Config rules and remediation actions Deploy the pack from the Organizations management account by using CloudFormation StackSets.

Create a CloudFormation template that contains the AWS Config rules and remediation actions Deploy the template from the delegated administrator account by using AWS Config.

Create an AWS Config conformance pack that contains the AWS Config rules and remediation actions. Deploy the pack from the delegated administrator account by using AWS Config.

Configure the existing EventBridge rule to also target the SNS topic Configure an SNS subscription filter policy to match the Cloud Formation stack. Attach the subscription filter policy to the SNS tomc

Create a second Lambda function to query the CloudFormation API for the drift detection results for the stack Configure the second Lambda function to publish a message to the SNS topic If drift ts detected Adjust the existing EventBridge rule to also target the second Lambda function

Configure Amazon GuardDuty in the account with drift detection for all CloudFormation stacks. Create a second EventBndge rule that reacts to the GuardDuty drift detection event finding for the specific CloudFormation stack. Configure the SNS topic as a target of the second EventBridge rule.

Configure AWS Config in the account. Use the cloudformation-stack-drift-detection-check managed rule. Create a second EventBndge rule that reacts to a compliance change event for the CloudFormaUon stack. Configure the SNS topc as a target of the second EventBridge rule.

Configure the application account's deployment 1AM role to have a trust relationship with the centralized DevOps account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the application account's deployment 1AM role to have the required access to the EKS cluster. Configure the EKS cluster aws-auth ConfigMap to map the role to the appropriate system permissions.

Configure the centralized DevOps account's deployment I AM role to have a trust relationship with the application account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the centralized DevOps account's deployment 1AM role to allow the required access to CodeBuild.

Configure the centralized DevOps account's deployment 1AM role to have a trust relationship with the application account. Configure the trust relationship to allow the sts:AssumeRoleWithSAML action. Configure the centralized DevOps account's deployment 1AM role to allow the required access to CodeBuild.

Configure the application account's deployment 1AM role to have a trust relationship with the AWS Control Tower management account. Configure the trust relationship to allow the sts:AssumeRole action. Configure the application account's deployment 1AM role to have the required access to the EKS cluster. Configure the EKS cluster aws-auth ConfigMap to map the role to the appropriate system permissions.

Create an AWS Lambda function to transform the data and to write a new object to the existing S3 bucket. Configure the Lambda function with an S3 trigger for the existing S3 bucket. Specify all object create events for the event type. Acknowledge the recursive invocation.

Enable Amazon EventBridge notifications on the existing S3 bucket. Create a custom EventBridge event bus. Create an EventBridge rule that is associated with the custom event bus. Configure the rule to react to all object create events for the existing S3 bucket and to invoke an AWS Step Functions workflow. Configure a Step Functions task to transform the data and to write the data into a new S3 bucket.

Create an Amazon EventBridge rule that is associated with the default EventBridge event bus. Configure the rule to react to all object create events for the existing S3 bucket. Define a new S3 bucket as the target for the rule. Create an EventBridge input transformation to customize the event before passing the event to the rule target.

Create an Amazon Data Firehose delivery stream that is configured with an AWS Lambda transformer. Specify the existing S3 bucket as the destination. Change the Network Firewall logging destination from Amazon S3 to Firehose.

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Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3. ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.

Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.• events

Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function. Modify the Lambda function to read the logs from the S3 bucket

Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function

Configure CodePipeline to write actions to Amazon CloudWatch Logs.

Configure CodePipeline to write actions to an Amazon S3 bucket at the end of each pipeline stage.

Create an AWS CloudTrail trail to deliver logs to Amazon S3.

Create a CodePipeline custom action to invoke an AWS Lambda function for approval. Create a policy that gives the security team access to manage CodePipeline custom actions.

Create a CodePipeline manual approval action before the deployment step. Create a policy that grants the security team access to approve manual approval stages.

Enable AWS CloudTrail and configure automatic remediation using AWS Lambda.

Enable AWS Conflg rules and configure automatic remediation using AWS Systems Manager documents.

Enable AWS Trusted Advisor and configure automatic remediation using Amazon EventBridge.

Enable AWS Systems Manager and configure automatic remediation using Systems Manager documents.

Enable smart sessions on the load balancer and modify the application to check tor an existing session.

Enable session sharing on the toad balancer and modify the application to read from the session store.

Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.

Modify the application to store user session information in an Amazon ElastiCache cluster.

Enable S3 Replication Time Control (RTC) for each replication rule.

Create S3 Multi-Region Access Point (active/passive).

Call SubmitMultiRegionAccessPointRoutes during failover.

Enable S3 Transfer Acceleration.

Use Route 53 ARC routing control.

Use Route 53 ARC to shift traffic during failover.

Configure the CheckURL stage to use an Amazon CloudWatch action. Configure the action to use a canary synthetic monitoring check on the application URL and to report a success or failure to CodePipeline.

Create an AWS Lambda function to check the response code status of the URL and to report a success or failure to CodePipeline. Configure an action in the CheckURL stage to invoke the Lambda function.

Configure the CheckURL stage to use an AWS CodeDeploy action. Configure the action with an input artifact that is the URL of the application and to report a success or failure to CodePipeline.

Deploy an Amazon API Gateway HTTP API that checks the response code status of the URL and that reports success or failure to CodePipeline. Configure the CheckURL stage to use the AWS Device Farm test action and to provide the API Gateway HTTP API as an input artifact.

Edit the backup vault access policy in the new account to allow access to the primary account.

Edit the backup vault access policy in the primary account to allow access to the new account.

Edit the backup vault access policy in the primary account to allow access to the KMS key in the new account.

Edit the key policy of the KMS key in the primary account to share the key with the new account.

Edit the key policy of the KMS key in the new account to share the key with the primary account.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.

Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to O. Update the distribution's origin to use the new record set.

Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution's default behavior to send origin responses to the function.

Create an association in Systems Manager State Manager. Target all the managed nodes. Include the software in the association. Configure the association to use the Systems Manager document.

Set up AWS Config to record all the resources in the account. Create an AWS Config custom rule to determine if the software is installed on all the EC2 instances. Configure an automatic remediation action that uses the Systems Manager document for noncompliant EC2 instances.

Activate Amazon EC2 scanning on Amazon Inspector to determine if the software is installed on all the EC2 instances. Associate the findings with the Systems Manager document.

Create an Amazon EventBridge rule that uses AWS CloudTrail to detect the RunInstances API call. Configure inventory collection in Systems Manager Inventory to determine if the software is installed on the EC2 instances. Associate the Systems Manager Inventory with the Systems Manager document.

Enable S3 Replication Time Control (S3 RTC) for each replication rule used in the configuration.

Create an S3 Multi-Region Access Point in an active-passive configuration.

Call the SubmitMultiRegionAccessPointRoutes operation in the Amazon S3 API when the company needs to fail over to the S3 bucket in the second Region.

Enable S3 Transfer Acceleration on both S3 buckets.

Configure a routing control in Amazon Route 53 Application Recovery Controller (ARC). Add both S3 buckets in an active-passive configuration.

Use Amazon Route 53 Application Recovery Controller (ARC) to shift traffic from the primary bucket to the failover bucket in the second Region.

Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.

Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.

Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Write the secret to AWS Systems Manager Parameter Store as a secure string. Update the SAM templates and the Python code to pull the secret from Parameter Store.

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.

Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Write the secret to AWS Systems Manager Parameter Store as a string. Update the SAM templates and the Python code to pull the secret from Parameter Store.

Create Amazon Elastic Container Registry (Amazon ECR) repositories in the shared services account: one repository for each pre-scan image and one repository for each post-scan image. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization write access to the pre-scan repositories and read access to the post-scan repositories.

Create pre-scan Amazon Elastic Container Registry (Amazon ECR) repositories in each account that publishes container images. Create repositories for post-scan images in the shared services account. Configure Amazon ECR image scanning to run on new image pushes to the pre-scan repositories. Use resource-based policies to grant the organization read access to the post-scan repositories.

Configure image replication for each image from the image's pre-scan repository to the image's post-scan repository.

Create a pipeline in AWS CodePipeline for each pre-scan repository. Create a source stage that runs when new images are pushed to the pre-scan repositories. Create a stage that uses AWS CodeBuild as the action provider. Write a buildspec.yaml definition that determines the image scanning status and pushes images without critical vulnerabilities lo the post-scan repositories.

Create an AWS Lambda function. Create an Amazon EventBridge rule that reacts to image scanning completed events and invokes the Lambda function. Write function code that determines the image scanning status and pushes images without critical vulnerabilities to the post-scan repositories.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.

Configure a CloudWatch metric stream to include metrics from the application and the CloudWatch namespace. Configure the metric stream to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Configure a CloudWatch metrics stream to include all the metrics and to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Configure metric filters for the CloudWatch logs to create custom metrics. Configure a CloudWatch metric stream to deliver the application metrics to the S3 bucket.

Configure subscription filters on the application log groups to target an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Update the CI/CD pipeline to create a VM image that contains newly packaged software Use AWS Import/Export to make the VM image available as anAmazon EC2 AMI. Launch the AMI with an attached 1AM instance profile that allows CodeArtifact actions. Use AWS CLI commands to publish the packages to a CodeArtifact repository.

Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an 1AM role that allows CodeArtifact actions and that has a trust relationship on the trust anchor. Update the on-premises CI/CD pipeline to assume the new 1AM role and to publish the packages to CodeArtifact.

Create a new Amazon S3 bucket. Generate a presigned URL that allows the PutObject request. Update the on-premises CI/CD pipeline to use thepresigned URL to publish the packages from the on-premises location to the S3 bucket. Create an AWS Lambda function that runs when packages are created in the bucket through a put command Configure the Lambda function to publish the packages to CodeArtifact

For each public repository, create a CodeArtifact repository that is configured with an external connection Configure the dependent repositories as upstream public repositories.

Create a CodeArtifact repository that is configured with a set of external connections to the public repositories. Configure the external connections to be downstream of the repository

Turn off cross-zone load balancing on the ALB Use Amazon Route 53 Application Recovery Controller to start a zonal shift away from the Availability Zone

Turn off cross-zone load balancing on the ALB's target group Use Amazon Route 53 Application Recovery Controller to start a zonal shift away from the Availability Zone

Create an Amazon Route 53 Application Recovery Controller resource set that uses the DNS hostname of the ALB Start a zonal shift for the resource set away from the Availability Zone

Create an Amazon Route 53 Application Recovery Controller resource set that uses the ARN of the ALB's target group Create a readiness check that uses the ElbV2TargetGroupsCanServeTraffic rule

Direct the security team to use CloudFormation to create new versions of the AMIs and to list the AMI ARNs in an encrypted Amazon S3 object as part of the stack's Outputs section. Instruct the developers to use a cross-stack reference to load the encrypted S3 object and obtain the most recent AMI ARNs.

Direct the security team to use a CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs and places the latest AMI ARNs in an encrypted Amazon S3 object as part of the pipeline output. Instruct the developers to use a cross-stack reference within their own CloudFormation template to obtain the S3 object location and the most recent AMI ARNs.

Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to place the AMI ARNs as parameters in AWS Systems Manager Parameter Store. Instruct the developers to specify a parameter of type SSM in their CloudFormation stack to obtain the most recent AMI ARNs from Parameter Store.

Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to create an Amazon Simple Notification Service (Amazon SNS) topic so that every development team can receive notifications. When the development teams receive a notification, instruct them to write an AWS Lambda function that will update their CloudFormation stack with the most recent AMI ARNs.

Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure a pull request workflow to review template modifications. Configure AWS CloudFormation Git sync for the stacks.

Add a manual review action in the pipeline to review modifications to the template code before the stack deployments.

Update the pipeline to invoke an AWS Lambda function to check the template modifications before the stack deployments.

Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure the pipeline to include a source action that uses the connection. Add a manual review action to the pipeline to review template modifications before the stack deployments.

Register the ECS service as a scalable target in AWS Application Auto Scaling. Configure a target tracking scaling policy to scale the service in response to the queue size.

Increase the maximum number of messages that Amazon SQS requests to batch messages together. Use long polling to minimize the number of API calls to Amazon SQS during periods of low traffic.

Send messages to an Amazon EventBridge event bus instead of the SQS queue. Replace the ECS service with an EventBridge rule that launches ECS tasks in response to matching events.

Create an Auto Scaling group of EC2 instances. Create a capacity provider in the ECS cluster by using the Auto Scaling group. Change the ECS service to use the EC2 launch type.

Update the EFS file system policy to provide Account B with access to mount and write to the EFS file system in Account A.

Create SCPs to set permission guardrails with fine-grained control for Amazon EFS.

Create a new EFS file system in Account B Use AWS Database Migration Service (AWS DMS) to keep data from Account A and Account B synchronized.

Update the Lambda execution roles with permission to access the VPC and the EFS file system.

Create a VPC peering connection to connect Account A to Account B.

Configure the Lambda functions in Account B to assume an existing IAM role in Account A.

Create a CloudWatch metric based on the application logs. Create a CloudWatch alarm based on the metric that will activate when application errors occur. Change the deployment group settings to use the CloudWatch alarm configuration. Configure the deployment group to use an auto rollback configuration.

Configure a CloudWatch alarm that uses a custom metric for application errors that are recorded in the CodeDeploy agent logs. Configure the current deployment to use the CloudWatch alarm for its alarm configuration. Configure the deployment to use an auto rollback configuration.

Create an AWS Lambda function that will create a new deployment by using the last successful application deployment. Create an Amazon EventBridge rule that matches events from CodeDeploy that have a deployment status of FAILURE. Configure the EventBridge rule to target the Lambda function.

Create an AWS Lambda function that will create a new deployment group for the application deployment. Create a CloudWatch alarm based on metrics from the application logs. Configure the alarm to activate when an application error occurs on an EC2 instance. Configure the CloudWatch alarm to invoke the Lambda function.

Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold

Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment

Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment

Configure a new stage in the pipeline that includes an AWS FIS action. Configure the action to reference the AWS FIS experiment template. Grant the pipeline access to start the experiment.

Create an Amazon EventBridge scheduler. Grant the scheduler permission to start the AWS FIS experiment. Configure a new stage in the pipeline that includes an action to invoke the EventBridge scheduler.

Create an AWS Lambda function to start the AWS FIS experiment. Grant the Lambda function permission to start the experiment. Create a new stage in the pipeline that has a Lambda action. Set the action to invoke the Lambda function.

Export the AWS FIS experiment template to an Amazon S3 bucket. Create an AWS CodeBuild unit test project that has a buildspec that starts the AWS FIS experiment. Grant the CodeBuild project access to start the experiment. Configure a new stage in the pipeline that includes an action to run the CodeBuild unit test project.

Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store Use Aurora's automatic recovery capabilities in the event of a disaster

Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure promote the secondary Region as the primary for the application.

Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use hearth checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand.

Set up the application m two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster adjust the Auto Scaling group's desired instance count to increase baseline capacity in the failover Region.

Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.

Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project's IAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.

Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the IAM service role to have access.

Update the buildspec.yml file to use the AWS CLI to assume the IAM service role for ECR operations. Add an ECR repository policy that allows the IAM service role to have access.

Add an AWS CodeBuild action to the pipeline. Add a buildspec.yml file to the Git repository to define commands to run tests. Configure the pipeline to stop the deployment if a test fails.

Configure Git webhooks to initiate an AWS Lambda function during each code merge. Configure the Lambda function to run tests programmatically and to stop the pipeline if a test fails.

Configure AWS Batch to use Docker images of test environments. Integrate AWS Batch into the pipeline. Add an AWS Lambda function to the pipeline that submits the batch jobs and reverts the code merge if a test fails.

Configure the Git repository to push code to an Amazon S3 bucket during each code merge. Use S3 Event Notifications to initiate tests and to revert the code merge if a test fails.

Migrate the database to Amazon DynamoDB global tables. Configure automatic failover between AWS Regions by using Amazon Route 53 health checks.

Migrate the database to Amazon EC2 instances in multiple Availability Zones. Use Amazon Elastic Block Store (Amazon EBS) Mult-Attach to connect all the instances to a single EBS volume.

Use the RDS DB instance as the source instance to create read replicas in multiple Availability Zones. Deploy an Application Load Balancer to distribute read traffic across the read replicas.

Modify the RDS DB instance to be a Multi-AZ deployment. Verify automatic failover to the standby instance if the primary instance becomes unavailable.

Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.

Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function. Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.

Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.

Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.

Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runorder.

Modify each CodeBuild protect to run within a VPC and use dedicated instances to increase throughput.

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the average of the ApproximateNumberOfMessagesDelayed metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the sum of the ApproximateNumberOfMessagesVisible metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an AWS Lambda function that retrieves the ApproximateNumberOfMessages SQS queue attribute value and publishes it as a new CloudWatch custom metric. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. Configure a CloudWatch metrics alarm with a period of 1 hour and a static threshold to alarm if the sum of the new custom metric is greater than the expected value.

Create an AWS Lambda function that checks the ApproximateNumberOfMessagesDelayed SQS queue attribute and compares the value to a defined expected size in the function. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. When the ApproximateNumberOfMessagesDelayed SQS queue attribute exceeds the expected size, send a notification the SNS topic.

Enable Amazon DevOps Guru in the AWS account. Determine the coverage for DevOps Guru for all supported AWS resources in the account. Use the DevOps Guru dashboard to find the analysis, recommendations, and related metrics.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon DevOps Guru to send notifications about important events to the company when anomalies are identified.

Create an Amazon S3 bucket. Store Amazon CloudWatch logs, AWS CloudTrail data, and AWS Config data in the S3 bucket. Use Amazon Athena to generate insights on the data. Create a dashboard by using Amazon QuickSight.

Configure email message reports for an Amazon QuickSight dashboard. Schedule and send the email reports to the company.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon Athena to send query results about important events to the company when anomalies are identified.

Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.

Modify the on-premises application to send log information back to API Gateway with each request.

Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.

Use Amazon S3 Lifecycle policies on the ECR repository to automatically delete images based on image age or the absence of tags on the image.

Use Amazon ECR lifecycle policies to delete images based on age or the number of images that need to be retained in the repository.

Configure an AWS Lambda function to run on a schedule to delete images based on age or the number of images that need to be retained in the repository.

Use AWS Systems Manager to run a script by using the aws:executeScript action to automatically delete images based on image age or the absence of tags on the image.

Update the subnet mappings that are configured for the ALBs. Run the aws cloudformation update-stack-set AWS CLI command.

Update the 1AM role by providing the necessary permissions to update the stack. Run the aws cloudformation continue-update-rollback AWS CLI command.

Submit a request for a quota increase for the number of EC2 instances for the account. Run the aws cloudformation cancel-update-stack AWS CLI command.

Delete the Auto Scaling group resource. Run the aws cloudformation rollback-stack AWS CLI command.

Download the Amazon CloudWatch Logs container instance from AWS. Configure this instance as a task. Update the application service definitions to include the logging task.

Install the Amazon CloudWatch Logs agent on the ECS instances. Change the logging driver in the ECS task definition to awslogs.

Use Amazon EventBridge to schedule an AWS Lambda function that will run every 60 seconds and will run the Amazon CloudWatch Logs create-export-task command. Then point the output to the logging S3 bucket.

Activate access logging on the ALB. Then point the ALB directly to the logging S3 bucket.

Activate access logging on the target groups that the ECS services use. Then send the logs directly to the logging S3 bucket.

Create an Amazon Kinesis Data Firehose delivery stream that has a destination of the logging S3 bucket. Then create an Amazon CloudWatch Logs subscription filter for Kinesis Data Firehose.

Use Account Factory Customization (AFC) blueprints for baseline setup.

Use Account Factory + StackSets post-setup.

Use Organizations with Lambda applying baseline via access role.

Use Organizations + StackSets manually.

Run the aws eks update-cluster-version command, providing appropriate arguments such as cluster name and version number.

Enable EKS Auto Mode on all EKS clusters. Remove all existing managed node groups.

Run the eksctl command to upgrade the EKS clusters. Provide appropriate arguments such as cluster name and version number.

Refactor the environment to create EKS clusters by using infrastructure as code (IaC). Upgrade the clusters by using code changes.

Add an IAM trust policy to the IAM role that establishes Amazon ECS as a trusted service.

Add the logs:PutDestination permission.

Remove the logs:CreateLogStream permission.

Add an IAM trust policy that establishes CloudWatch as a trusted service.

Introduce changes as a separate environment parallel to the existing one Configure API Gateway to use a canary release deployment to send a small subset of user traffic to the new environment.

Introduce changes as a separate environment parallel to the existing one Update the application's DNS alias records to point to the new environment.

Introduce changes as a separate target group behind the existing Application Load Balancer Configure API Gateway to route user traffic to the new target group in steps.

Introduce changes as a separate target group behind the existing Application Load Balancer Configure API Gateway to route all traffic to the Application Load Balancer which then sends the traffic to the new target group.

Update the DevOps group to have the ReadOnlyAccess permission set for the production accounts. Configure the DevOps engineer user with a new permission set that has AdministratorAccess permissions and that allows the user to assume the pipeline role. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Update the DevOps group to be able to assume the pipeline role for the production accounts. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the DevOps engineer.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Use a specific tag to tag the resources that CodePipeline provisions. Add an SCP that denies modification of tagged resources by any entity other than the DevOps engineer.

Create an Amazon CloudWatch Event rule that runs periodically and targets an AWS Lambda function. Within the Lambda function, evaluate the current state of the AWS environment and compare deployed resource values to resource limits on the account. Notify the Senior Manager if the account is approaching a service limit.

Deploy an AWS Lambda function that refreshes AWS Trusted Advisor checks, and configure an Amazon CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event pattern matching Trusted Advisor events and a target Lambda function. In the target Lambda function, notify the Senior Manager.

Deploy an AWS Lambda function that refreshes AWS Personal Health Dashboard checks, and configure an Amazon CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event pattern matching Personal Health Dashboard events and a target Lambda function. In the target Lambda function, notify the Senior Manager.

Add an AWS Config custom rule that runs periodically, checks the AWS service limit status, and streams notifications to an Amazon SNS topic. Deploy an AWS Lambda function that notifies the Senior Manager, and subscribe the Lambda function to the SNS topic.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs Configure AWS CloudTrail to deliver the API logs to Amazon S3 Use CloudWatch to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs Configure AWS CloudTrail to deliver the API logs to CloudWatch Logs Use CloudWatch Logs Insights to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon Kinesis Configure AWS CloudTrail to deliver the API logs to Kinesis Use Kinesis to load the data into Amazon Redshift Use Amazon Redshift to query both sets of logs.

Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon S3 Use AWS CloudTrail to deliver the API togs to Amazon S3 Use Amazon Athena to query both sets of logs in Amazon S3.

Configure the buildspec.yml file to specify multiple artifacts with different file sets. Enable local caching for the build process by using source cache mode. Use environment variables to dynamically name artifacts based on the build ID.

Configure the buildspec.yml file to output all files as a single artifact. Enable local caching for the build process by using custom cache mode. Create an AWS Lambda function that is invoked by CodeBuild completion. Program the Lambda function to split the artifact into multiple files and to upload the files to the S3 bucket with dynamic names based on build ID.

Create separate CodeBuild projects for each artifact type. Enable local caching for the build process by using Docker layer cache mode. Configure each project to output a single artifact to the S3 bucket with a dynamic name based on build ID. Use AWS Step Functions to orchestrate the projects in parallel.

Set up CodeBuild to generate a single ZIP artifact that contains all files. Enable S3 caching for the build process. Use AWS CodePipeline with a custom action to extract the files and reorganize the files into multiple artifacts in the S3 bucket. Configure the custom action to dynamically name the files based on the time of the build.

In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.

Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs-amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.

Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.

In the organization's management account, enable the logging policies for the organization.

use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.

In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.

Fitter the data through AWS X-Ray to visualize the data.

Filter the data through Amazon QuickSight to visualize the data.

Query the data with Amazon Athena.

Query the data with Amazon Redshift.

Use the AWS Glue Data Catalog as the persistent metadata store.

Use Amazon DynamoDB as the persistent metadata store.

Create one AWS CodeCommit repository for all applications. Put each application's code in a different branch. Merge the branches, and use AWS CodeBuild to build the applications. Use AWS CodeDeploy to deploy the applications to one centralized application server.

Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time. Use AWS CodeDeploy to deploy the applications to one centralized application server.

Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build the applications one at a time and to create one AMI for each server. Use AWS CloudFormation StackSets to automatically provision and decommission Amazon EC2 fleets by using these AMIs.

Create one AWS CodeCommit repository for each of the applications. Use AWS CodeBuild to build one Docker image for each application in Amazon Elastic Container Registry (Amazon ECR). Use AWS CodeDeploy to deploy the applications to Amazon Elastic Container Service (Amazon ECS) on infrastructure that AWS Fargate manages.

Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ NAME to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.

Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.

Enable AWS Config. Add the alb-waf-enabled managed rule. Create an AWS Systems Manager Automation document to add AWS WAF to an ALB. Edit the rule to automatically remediate. Select the Systems Manager Automation document as the remediation action.

Enable AWS Config. Add the alb-waf-enabled managed rule. Create an Amazon EventBridge rule to send all AWS Config ConfigurationItemChangeNotification notification types to an AWS Lambda function. Configure the Lambda function to call the AWS Config start-resource-evaluation API in detective mode.

Configure an Amazon EventBridge rule to periodically call an AWS Lambda function that calls the detect-stack-drift API on the CloudFormation template. Configure the Lambda function to modify the ALB attributes with waf.fail_open.enabled set to true if the AWS::WAFv2::WebACLAssociation resource shows a status of drifted.

Configure an Amazon EventBridge rule to periodically call an AWS Lambda function that calls the detect-stack-drift API on the CloudFormation template. Configure the Lambda function to delete and redeploy the CloudFormation stack if the AWS::WAFv2::WebACLAssociation resource shows a status of drifted.

Migrate from Amazon RDS to Amazon DynamoDB. Add an Amazon CloudFront distribution in front of the API Gateway REST API.

Add a proxy from Amazon RDS Proxy in front of the RDS DB cluster. Enable API caching in API Gateway.

Add an Amazon RDS Proxy in front of the RDS database cluster. Provision an Amazon ElastiCache (Redis OSS) cluster.

Migrate from Amazon RDS to Amazon DynamoDB. Enable API caching in API Gateway.

Apply an SCP to all OUs to deny the cloudtrail:StopLogging action and the cloudtrail:DeleteTrail action.

Create IAM policies in each account to deny the cloudtrail:StopLogging action and the cloudtrail:DeleteTrail action.

Set up Amazon CloudWatch alarms to notify the security team when a user disables CloudTrail in an account.

Use AWS Config to automatically re-enable CloudTrail if a user disables CloudTrail in an account.

Implement lifecycle event hooks in the deployment configuration.

Use AWS CloudFormation to monitor the health of the deployment.

Set up alarms in Amazon CloudWatch to start a rollback.

Configure automatic rollback settings in AWS CodeDeploy.

Enable AWS Control Tower in the management account. Configure AWS Control Tower Account Factory customization to deploy the required IAM roles and policies to all accounts.

Activate trusted access for AWS CloudFormation StackSets in Organizations. In the management account, create a stack set that has service-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In each member account, create IAM roles that have permissions to create and manage resources. In the management account, create an AWS CloudFormation stack set that has self-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In the management account, create an AWS CodePipeline pipeline. Configure the pipeline to use AWS CloudFormation to automate the deployment of the required IAM roles and policies. Set up cross-account IAM roles to allow CodePipeline to deploy resources in the member accounts.

Create an Amazon CloudWatch Synthetics canary to monitor the firewall state. If the firewall reaches a CRITICAL state or logs a CRITICAL event use a CloudWatch alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the security team's email address to the topic.

Create an Amazon CloudWatch metric filter by using a search for CRITICAL events Publish a custom metric for the finding. Use a CloudWatch alarm based on the custom metric to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team's email address to the topic.

Enable Amazon GuardDuty in the network operations account. Configure GuardDuty to monitor flow logs Create an Amazon EventBridge event rule that is invoked by GuardDuty events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.

Use AWS Firewall Manager to apply consistent policies across all accounts. Create an Amazon. EventBridge event rule that is invoked by Firewall Manager events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.

Designate an account to be the delegated Amazon GuardDuty administrator account. Turn on GuardDuty for all accounts across the organization. In the GuardDuty administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for GuardDuty findings and a target of the SNS topic.

Create an AWS CloudFormation template that creates an SNS topic and subscribes the SecOps team’s email address to the SNS topic. In the template, include an Amazon EventBridge rule that uses an event pattern of CloudTrail activity for s3:PutBucketPublicAccessBlock and a target of the SNS topic. Deploy the stack to every account in the organization by using CloudFormation StackSets.

Turn on AWS Config across the organization. In the delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. Deploy a conformance pack that uses the s3-bucket-level-public-access-prohibited AWS Config managed rule in each account and uses an AWS Systems Manager document to publish an event to the SNS topic to notify the SecOps team.

Turn on Amazon Inspector across the organization. In the Amazon Inspector delegated administrator account, create an SNS topic. Subscribe the SecOps team’s email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for public network exposure of the S3 bucket and publishes an event to the SNS topic to notify the SecOps team.

Use AWS CloudFormalion to create an AWS Step Functions state machine and Auto Scaling hfecycle hooks to move to one instance at a time into a wait state Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached

Create a new regex pattern set. Add the regex pattern set to a new rule group. Create a new web ACL that has a default action set to Block. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic based on the new rule group.

Create an AWS WAF IP address set that matches the corporate office IP address range. Create a new web ACL that has a default action set to Allow. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic from the IP address set.

Create a new regex pattern set. Add the regex pattern set to a new rule group. Set the default action on the existing web ACL to Allow. Add a rule that has priority 0 that allows traffic based on the regex pattern set.

Create a WAF IP address set that matches the corporate office IP address range. Set the default action on the existing web ACL to Block. Add a rule that has priority 0 that allows traffic from the IP address set.

Create a new AWS account in AWS Organizations Create a VPC in this account and use AWS Resource Access Manager to share the private subnets of this VPC with the organization Instruct the service teams to launch a new. Network Load Balancer (NLB) and EC2 instances that use the shared private subnets Use the NLB DNS names for communication between microservices.

Create a Network Load Balancer (NLB) in each of the microservice VPCs Use AWS PrivateLink to create VPC endpoints in each AWS account for the NLBs Create subscriptions to each VPC endpoint in each of the other AWS accounts Use the VPC endpoint DNS names for communication between microservices.

Create a Network Load Balancer (NLB) in each of the microservice VPCs Create VPC peering connections between each of the microservice VPCs Update the route tables for each VPC to use the peering links Use the NLB DNS names for communication between microservices.

Create a new AWS account in AWS Organizations Create a transit gateway in this account and use AWS Resource Access Manager to share the transit gateway with the organization. In each of the microservice VPCs. create a transit gateway attachment to the shared transit gateway Update the route tables of each VPC to use the transit gateway Create a Network Load Balancer (NLB) in each of the microservice VPCs Use the NLB DNS names for communicat

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Add a new SCP statement to the OU that denies the CodeConnections CreatingConnections action where the provider type is not the specified Git provider.

Add a new SCP statement to the OU that allows the CodeConnections CreatingConnections action where the provider type is the specified Git provider.

Use CodeConnections to configure a single CodeConnections connection to each Git repository.

Use CodeConnections to create a CodeConnections connection from each Region where the company operates to each Git repository.

Use CodeConnections to create a CodeConnections repository link. Update each CloudFormation stack to sync from the Git repository.

For each Git repository, create a pipeline in AWS CodePipeline that has the Git repository set as the source and a CloudFormation deployment stage.

Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step

Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.

Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.

Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.

Create a custom Docker image that contains all the dependencies tor the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.

Launch a new Amazon EC2 instance Install all the dependencies (or the legacy application on the EC2 instance Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.

Create a custom EC2 Image Builder image Install all the dependencies for the legacy application on the image Launch a new Amazon EC2 instance from the image Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.

Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones Create a custom Docker image that contains all the dependencies for the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 buc

Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.

Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.

Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3. Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket.

Create a security group for the application instances and allow only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.

Activate Amazon Macie on the S3 bucket In the production account Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll before copying files to the S3 bucket in the development account. Give the state machine tasks decrypt permissions on the KMS key in the production account. Give the state machine tasks encrypt permissions on the KMS key in the development account

Set up S3 replication between the production S3 bucket and the development S3 bucket Activate Amazon Macie on the development S3 bucket Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll as the files are copied to the development S3 bucket. Give the state machine tasks encrypt and decrypt permissions on the KMS key in the development account.

Set up an S3 Batch Operations job to copy files from the production S3 bucket to the development S3 bucket. In the development account, configure anAWS Lambda function to redact all Pll. Configure S3 Object Lambda to use the Lambda function for S3 GET requests Give the Lambda function's 1AM role encrypt and decrypt permissions on the KMS key in the development account.

Create a development environment from the CloudFormatlon template in the development account. Schedule an Amazon EventBridge rule to start the AWS Step Functions state machine once a week

Create a development environment from the CloudFormation template in the development account. Schedule a cron job on an Amazon EC2 instance to run once a week to start the S3 Batch Operations job.

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.

Configure a CloudWatch Logs subscription fitter to stream all logs to an S3 bucket.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.

Enable AWS CloudTrail for control plane logging and deploy Logstash on nodes.

Enable control plane logging to CloudWatch and use CloudWatch Container Insights for node and pod metrics.

Enable API server logging to S3 and deploy Kubernetes Event Exporter to nodes.

Use AWS Distro for OpenTelemetry and stream logs to Amazon Redshift.

AfterBlockTraffic

BeforeBlockTraffic

Beforelnstall

Down load Bundle

Check that an Amazon EventBridge rule has been created for the main branch to trigger the pipeline.

Check that the CodePipeline service role has permission to access the CodeCommit repository.

Check that the developer’s IAM role has permission to push to the CodeCommit repository.

Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

The appspec. yml file contains an invalid script that runs in the AllowTraffic lifecycle hook.

The user who initiated the deployment does not have the necessary permissions to interact with the ALB.

The health checks specified for the ALB target group are misconfigured.

The CodeDeploy agent was not installed in the EC2 instances that are pad of the ALB target group.

Configure VPC Flow Logs to monitor network traffic. Use Amazon Inspector to detect non-network deployment issues. Use Amazon Detective to analyze the findings.

Enable detailed monitoring on the EC2 instances. Use AWS Systems Manager Run Command to run troubleshooting scripts on all the EC2 instances simultaneously. Analyze the results in AWS CloudTrail logs.

Use Amazon CloudWatch Logs to review application logs. Analyze CodeDeploy deployment logs in the /opt/codedeploy-agent/deployment-root/ directory on the EC2 instances. Use AWS X-Ray to trace requests through the application components.

Examine AWS Trusted Advisor checks for the CodeDeploy deployments. Use the AWS Health Dashboard to monitor application health. Analyze performance metrics in Amazon CloudWatch dashboards.

Create an IAM role allowing EventBridge to use Systems Manager to run commands in the control plane nodes. Create a State Manager association using control plane node tags.

Create an IAM role allowing EventBridge to use Systems Manager to run commands in the worker nodes. Create a State Manager association using the nodes’ machine size.

Create an IAM role allowing EventBridge to use Systems Manager to run commands in the worker nodes. Create a State Manager association using the nodes’ tags to prefetch container images.

Create an IAM role allowing EventBridge to use Systems Manager to run commands in the control plane nodes. Create a State Manager association using the nodes’ tags.

Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository. Use AWS CodeBuild to build an artifact and copy the object into the S3 bucket. Configure CodeBuild to run for every merge into the main branch.

Create a custom script to clear the cache. Specify the script in the BeforeInstall lifecycle hook in the AppSpec file.

Create user data for each EC2 instance that contains the cache clearing script. Test the application after deployment. If the deployment is not successful, then redeploy.

Use AWS CodePipeline to deploy the application. Set up an AWS CodeConnections compatible Git repository. Allow developers to merge code into the repository as a source for the pipeline.

Use AWS CodeBuild to build the artifact and place the artifact in the S3 bucket. Use AWS CodeDeploy to deploy the artifact to EC2 instances.

Use AWS Systems Manager to fetch the artifact from the S3 bucket and to deploy the artifact to all the EC2 instances.

Set up multiple CloudFront distributions. Point each distribution to another S3 bucket in a different Region. Use Amazon Route 53 latency-based routing to direct users to the nearest distribution.

Enable S3 replication between the S3 bucket in us-east-1 and the S3 bucket in the different Region.

Enable CloudFront with Origin Shield in us-east-1. Configure global edge locations. Set up cache behaviors with optimal TTLs for static content and dynamic content. Configure origin failover to an S3 bucket in a different Region. Enable S3 replication between the S3 bucket in us-east-1 and the S3 bucket in the different Region.

Enable CloudFront with Origin Shield in us-east-1. Configure Amazon ElastiCache clusters in multiple Regions to serve as a distributed caching layer between CloudFront and the S3 origin. Set up a replication script to synchronize the S3 bucket in us-east-1 to an S3 bucket in a different Region. Use Amazon EventBridge to schedule the script to run once a day.

Enable CloudFront with Origin Shield in the eu-west-1 Region. Configure Regional edge caches. Implement AWS Global Accelerator to route requests to the nearest Regional edge location. Enable S3 replication between the S3 bucket in us-east-1 and an S3 bucket in a different Region.

Switch the EKS nodes from Amazon EC2 to AWS Fargate.

Add an inbound rule to the EFS file system's security group to allow NFS traffic from the EKS cluster.

Create an IAM role that allows the Amazon EFS CSI driver to interact with the file system.

Set up AWS DataSync to configure file transfer between the EFS file system and the EKS nodes.

Create a mount target for the EFS file system in the subnet of the EKS nodes.

Disable encryption on the EFS file system.

EventBridge rule for RunInstances API calls, invoke Lambda to attach default profile.

AWS Config with ec2-instance-profile-attached managed rule, automatic remediation using Systems Manager Automation runbook to attach profile.

EventBridge rule for StartInstances API calls, invoke Systems Manager Automation runbook to attach profile.

AWS Config iam-role-managed-policy-check managed rule, automatic remediation with Lambda to attach profile.

Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.

Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.

Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.

Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.

Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.

Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data. Create views in Amazon Athena for the cataloged data.

Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.

Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.

Create an S3 bucket in each AWS account for the artifacts Allow the pipeline to write to the S3 buckets. Create a CodePipeline S3 action to copy the artifacts to the S3 bucket in each AWS account Update the CloudFormation actions to reference the artifacts S3 bucket in the production account.

Create a customer managed KMS key Configure the KMS key policy to allow the IAM roles used by the CloudFormation action to perform decrypt operations Modify the pipeline to use the customer managed KMS key to encrypt artifacts.

Create an AWS managed KMS key Configure the KMS key policy to allow the development account and the production account to perform decrypt operations. Modify the pipeline to use the KMS key to encrypt artifacts.

In the development account and in the production account create an IAM role for CodePipeline. Configure the roles with permissions to perform CloudFormation operations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipeline account configure the CodePipeline CloudFormation action to use the roles.

In the development account and in the production account create an IAM role for CodePipeline Configure the roles with permissions to perform CloudFormationoperations and with permissions to retrieve and decrypt objects from the artifacts S3 bucket. In the CodePipelme account modify the artifacts S3 bucket policy to allow the roles access Configure the CodePipeline CloudFormation action to use the roles.

Attach the AWSC loud Formation FullAccess IAM policy to the AWS CtoudFormation role.

Automatically recover the stack resources by using AWS CloudFormation drift detection.

Issue a ContinueUpdateRollback command from the AWS CloudFormation console or the AWS CLI.

Manually adjust the resources to match the expectations of the stack.

Update the existing AWS CloudFormation stack by using the original template.

Start a rolling restart to the Auto Scaling group tor the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, use an AWS CLI command to update the ALB to send traffic to the green environment's target group.

Use an AWS CLI command to update the ALB to send traffic to the green environment's target group. Then start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances.

Update the launch template to deploy the green environment's software on the blue environment's EC2 instances Keep the target groups and Auto Scaling groups unchanged in both environments Perform a rolling restart of the blue environment's EC2 instances.

Start a rolling restart of the Auto Scaling group for the green environment to deploy the new software on the green environment's EC2 instances When the rolling restart is complete, update the Route 53 DNS to point to the green environments endpoint on the ALB.

In the organization's management account configure an AWS account as the Amazon GuardDuty administrator account. In the GuardDuty administrator account add the company's existing AWS accounts to GuardDuty as members In the GuardDuty administrator account create an Amazon EventBridge rule with an event pattern to match GuardDuty events and to forward matching events to the SNS topic.

In the organization's management account configure Amazon GuardDuty to add newly created AWS accounts by invitation and to send invitations to the existing AWS accounts Create an AWS Cloud Formation stack set that accepts the GuardDuty invitation and creates an Amazon EventBridge rule Configure the rule with an event pattern to match. GuardDuty events and to forward matching events to the SNS topic. Configure the Cloud Formation stack set t

In the organization's management account. create an AWS CloudTrail organization trail Activate the organization trail in all AWS accounts in the organization. Create an SCP that enables VPC Flow Logs in each account in the organization. Configure AWS Security Hub for the organization Create an Amazon EventBridge rule with an even pattern to match Security Hub events and to forward matching events to the SNS topic.

In the organization's management account configure an AWS account as the AWS CloudTrail administrator account in the CloudTrail administrator account create a CloudTrail organization trail. Add the company's existing AWS accounts to the organization trail Create an SCP that enables VPC Flow Logs in each account in the organization. Configure AWS Security Hub for the organization. Create an Amazon EventBridge rule with an event pattern to ma

Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a con

Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.

Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.

Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.

Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.

Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.

Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.

Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.

Establish an organizational unit (OU) with group policies in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Establish a permission boundary in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Establish a service control policy in the management account to restrict Regions and authorized services. Use AWS Resource Access Manager (AWS RAM) to share management account roles with permissions for each job function, including AWS IAM Identity Center for authentication in each account.

Establish a service control policy (SCP) in the management account to restrict Regions and authorized services. Use AWS CloudFormation StackSets to provision roles with permissions for each job function, including an IAM trust policy for IAM identity provider authentication in each account.

Configure AWS CloudTrail to send log management events to an Amazon CloudWatch Logs log group. Create a CloudWatch Logs metric filter to match failed ConsoleLogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

Configure AWS CloudTrail to send log management events to an Amazon S3 bucket. Create an Amazon Athena query that returns a failure if the query finds failed logins in the logs in the S3 bucket. Create an Amazon EventBridge rule to periodically run the query. Create a second EventBridge rule to detect when the query fails and to send a message to the SNS topic.

Configure AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group. Create a CloudWatch logs metric filter to match failed Consolel_ogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

Configure AWS CloudTrail to send log data events to an Amazon S3 bucket. Configure an Amazon S3 event notification for the s3:ObjectCreated event type. Filter the event type by ConsoleLogin failed events. Configure the event notification to forward to the SNS topic.

Update the resource-based policy of the default event bus in each account to allow the DevOps account to replay events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.

Update the resource-based policy of the default event bus in each account to allow the DevOps account to receive events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.

Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be received from the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.

Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be replayed by the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.

Set up AWS Config in the account. Create a custom rule that returns a compliance failure for all Amazon EC2 resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.

Set up AWS Config in the account. Use a managed rule that returns a compliance failure for EC2::Volume resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.

Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.

Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events or EBS ModifyVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.

The config.txt file will be deployed to only /var/www/html/config/config txt

The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.

The config.txt file will be deployed to only /usr/local/src/config txt

The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt

Update the CodeBuild build phase commands to run the tests then to deploy the application. Set the OnFailure phase property to ABORT.

Update the CodeBuild build phase commands to run the tests then to deploy the application. Add the --rollback true flag to the cdk deploy command.

Update the CodeBuild build phase commands to run the tests then to deploy the application. Add the --require-approval any-change flag to the cdk deploy command.

Create a test that uses the AWS CDK assertions module. Use the template.hasResourceProperties assertion to test that resources have the expected properties.

Create a test that uses the cdk diff command. Configure the test to fail if any resources have changed.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to the 1AM instance profile that the cluster uses.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to a service account role for the cluster.

Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.

Collect performance logs by deploying the AWS Distro for OpenTelemetry collector as a DaemonSet.

Analyze the pod_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the Service dimension.

Analyze the node_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the ClusterName dimension.

Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentication token. Update the docker login command to use the authentication token to access the ECR repository.

Add an environment variable of type SECRETS_MANAGER to the CodeBuild project. In the environment variable, include the ARN of the CodeBuild project's lAM service role. Update the buildspec.yml file to use the new environment variable to log in with the docker login command to access the ECR repository.

Update the ECR repository to be a public image repository. Add an ECR repository policy that allows the 1AM service role to have access.

Update the buildspec.yml file to use the AWS CLI to assume the 1AM service role for ECR operations. Add an ECR repository policy that allows the 1AM service role to have access.

Create an Amazon CloudWatch Logs log group. Configure the appropriate AWS WAF web ACL to send log messages to the log group. Instruct the operations team to create CloudWatch metric filters.

Create an Amazon OpenSearch Service cluster and appropriate indexes. Configure an Amazon Kinesis Data Firehose delivery stream to stream log data to the indexes. Use OpenSearch Dashboards to create filters and widgets.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Instruct the operations team to create AWS Lambda functions that detect each desired log message pattern. Configure the Lambda functions to publish to an Amazon Simple Notification Service (Amazon SNS) topic.

Create an Amazon S3 bucket for the log output. Configure AWS WAF to send log outputs to the S3 bucket. Use Amazon Athena to create an external table definition that fits the log message pattern. Instruct the operations team to write SOL queries and to create Amazon CloudWatch metric filters for the Athena queries.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the DevOps_Role IAM role to grant permission to assume CodePipeline_Service_Role role.

Update the S3 bucket policy to grant the PipelineAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the CodeDeployAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Use the CloudFormation detect root cause capability for the failed stack to analyze the failure and return the event that is the most likely cause for the failure.

Query failed stacks by specifying the root stack as the ParentId property. Examine the StackStatusReason property for all returned stacks to determine the reason the nested stack failed to deploy.

Activate AWS Systems Manager for the AWS account where the application runs. Use the AWS Systems Manager Automation AWSSupport-TroubleshootCFNCustomResource runbook to determine the reason the nested stack failed to deploy.

Configure the CloudFormation template to publish logs to Amazon CloudWatch. View the CloudFormation logs for the failed stack in the CloudWatch console to determine the reason the nested stack failed to deploy.

Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.

Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application's output location, and remove the messages from the queue.

Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.

Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.

Ensure the Lambda function code has exited successfully.

Ensure the Lambda function code returns a response to the pre-signed URL.

Ensure the Lambda function IAM role has cloudformation UpdateStack permissions for the stack ARN.

Ensure the Lambda function IAM role has ds ConnectDirectory permissions for the AWS account.

Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.

Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.

Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.

Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.

Configure AWS 1AM Identity Center. Configure an IdP. Upload the IdP metadata from the existing IdP.

Create an 1AM IdP by using the provider URL, audience, and signature from the existing IdP.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the sts.amazon.conraud context key is appid from idp.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp.

Configure the web application lo use the AssumeRoleWith Web Identity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls.

Configure the web application to use the GetFederationToken API operation to retrieve temporary credentials Use the temporary credentials to make the S3 API calls.

Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Create separate pipeline stages that run a CodeBuild project to build and then test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.

Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.

Create individual Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.

Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy the artifact to the EC2 instances.

Enable Amazon S3 server access logging. Load the access logs into an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns.

Enable Amazon S3 server access logging. Use Amazon Athena to create an external table that contains the access logs. Run SQL queries on the Athena table to analyze the user access patterns.

Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Aurora database. Run SQL queries on the Aurora database to analyze the user access patterns.

Record a log message in Amazon CloudWatch Logs for every S3 object access event. Configure a log stream in CloudWatch Logs to write the file access information, including user ID, S3 bucket ID, and file key, to an Amazon Managed Service for Apache Flink application. Perform a sliding window analysis on the user access patterns.

Modify the Kinesis consumer application to store the logs durably in Amazon S3 Use Amazon EMR to process the data directly on Amazon S3 to derive customer insights Store the results in Amazon S3.

Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the Amazon CloudWatch GetRecords IteratorAgeMilliseconds metric Increase the retention period of the Kinesis data streams.

Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis data streams as the event source for the Lambda function to process the data streams

Increase the number of shards in the Kinesis data streams to increase the overall throughput so that the consumer application processes the data faster.

Delegate AWS Firewall Manager to a security account.

Delegate Amazon GuardDuty to a security account.

Create an AWS Firewall Manager policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Create an Amazon GuardDuty policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Configure an AWS Config managed rule to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.

Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit approval rule template. Configure the template to require the successful invocation of the CodeBuild project. Attach the approval rule to the project's CodeCommit repository.

Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit Create a CodeBuild project to run the unit and integration tests. Configure the CodeBuild project as a target of the EventBridge rule that includes a custom event payload with the CodeCommit repository and branch information from the event.

Create an Amazon EventBridge rule to match pullRequestCreated events from CodeCommit. Modify the existing CodePipeline pipeline to not run the deploy steps if the build is started from a pull request. Configure the EventBridge rule to run the pipeline with a custom payload that contains the CodeCommit repository and branch information from the event.

Create a CodeBuild project to run the unit and integration tests. Create a CodeCommit notification rule that matches when a pull request is created or updated. Configure the notification rule to invoke the CodeBuild project.

Create an S3 bucket policy for the S3 bucket that grants the S3 bucket permission to invoke the Lambda function.

Create a resource policy for the Lambda function to grant Amazon S3 permission to invoke the Lambda function on the S3 bucket.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function. Update the Lambda function to process messages from the SQS queue and the S3 event notifications.

Configure an Amazon Simple Queue Service (Amazon SQS) queue as the destination for the S3 bucket event notifications. Update the Lambda function's execution role to have permission to read from the SQS queue. Update the Lambda function to consume messages from the SQS queue.

Integrate AWS Trusted Advisor with AWS Config Configure a custom AWS Config rule to invoke an AWS Lambda function to publish notifications to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe a Slack channel endpoint and the shared inbox to the topic.

Use Amazon EventBridge to monitor for AWS Health Events Configure the maintenance events to target an Amazon Simple Notification Service (Amazon SNS) topic Subscribe an AWS Lambda function to the SNS topic to send notifications to the Slack channel and the shared inbox.

Create an AWS Lambda function that sends EC2 maintenance notifications to the Slack channel and the shared inbox Monitor EC2 health events by using Amazon CloudWatch metrics Configure a CloudWatch alarm that invokes the Lambda function when a maintenance notification is received.

Configure AWS Support integration with AWS CloudTrail Create a CloudTrail lookup event to invoke an AWS Lambda function to pass EC2 maintenance notifications to Amazon Simple Notification Service (Amazon SNS) Configure Amazon SNS to target the Slack channel and the shared inbox.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.