GitHub-Copilot GitHub CopilotCertification Exam Questions and Answers

Constructs detailed test documentation.

Creates unit tests for the selected code.

Integrates with external testing frameworks.

Executes test cases to find issues with the code.

It decreases software vulnerabilities from third party dependencies.

It reduces overhead by automating testing workflows.

It increases productivity by automating repetitive coding tasks.

It replaces the need for developers in the software development process.

The explanations are dynamically updated based on user feedback.

Reviewing and validating the generated output for accuracy and completeness.

GitHub Copilot Chat uses a static database for generating explanations.

The explanations are primarily derived from user-provided documentation.

Self hosted

Amazon Web Service

Microsoft Azure

Google Cloud Platform

Giving as little context to GitHub Copilot as possible

Telling GitHub Copilot it needs to show only the correct answer

Only giving GitHub Copilot a question as a prompt and no examples

Giving GitHub Copilot examples of the problem you want to solve

Giving GitHub Copilot examples of the algorithm and outcome you want to use

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.

GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.

GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

Code suggestions

Chat

Knowledge Base

Pull Request Diff Analysis

Prompts and Suggestions: Not retained

Prompts and Suggestions: Retained for 28 days

User Engagement Data: Kept for Two Years

User Engagement Data: Kept for One Year

Focusing on accessibility will ensure fairness.

Focusing on collecting large datasets for training will ensure fairness.

Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Training AI data and algorithms to be free from biases will ensure fairness.

Describing in your prompt what your role is to get a better suggestion

Tell GitHub Copilot in what tone of voice it should respond

Prompt GitHub Copilot to explain what was the role of a suggestion

Giving GitHub Copilot multiple examples of the form of the data you want to use

Clearly defining the problem or task

Including personal information in the code comments

Using meaningful variable names

Providing examples of desired output

Use a .gitignore file to exclude irrelevant files

The Settings menu in the GitHub Mobile app.

The feedback section on the GitHub website.

Use the emojis in the Copilot Chat interface.

By tweeting at GitHub's official X (previously known as Twitter) account.

Suggest homogeneous solutions if provided a diverse data set.

Suggest innovative coding solutions that are not yet popular.

Suggest code snippets that reflect the most common practices in the training data.

Suggest completely novel projects, while reducing time on a project.

Add teams to the Copilot subscription for an organization

Upgrade or downgrade the subscription tier

Migrate Copilot seat assignments between GitHub organizations

Reassign Copilot seats based on GitHub repository size

Remove teams from the Copilot subscription for an organization

GitHub Copilot can fix syntax errors without user input.

GitHub Copilot can automatically rewrite code to follow best practices.

GitHub Copilot can suggest refactoring improvements for better code quality.

GitHub Copilot can remove unnecessary files from the project directory.