Appian ACD200 Exam Dumps - Actual Questions Answers

Three possible reasons for high memory consumption of a process model are:

• Too many process variables. Process variables are used to store data that is needed throughout the process execution. However, having too many process variables can increase the memory usage of the process engine, especially if the variables store large or complex data types, such as documents or CDTs. It is recommended to use local variables whenever possible, and to delete or nullify process variables that are no longer needed.
• Nested CDTs with large numbers of fields. CDTs are custom data types that define the structure and validation of business data in Appian. CDTs can be nested within other CDTs to create complex data models. However, nesting CDTs with large numbers of fields can result in high memory consumption and performance degradation, as each field requires additional memory allocation and processing. It is recommended to limit the number of fields and nesting levels of CDTs, and to use references instead of embedding whenever possible.
• Too many nodes. Nodes are the graphical elements that represent the activities and events in a process model. Having too many nodes in a process model can increase the memory usage and complexity of the process execution. It can also make the process model harder to read and maintain. It is recommended to simplify the process model by using subprocesses, smart services, or expression rules to encapsulate common or reusable logic. References: Process Variables, Custom Data Types, Process Model Best Practices

 Two places to get information on process model memory usage are:

• Process monitoring tab. The process monitoring tab is a feature in the Appian Designer that allows you to monitor and manage the performance and status of process models and instances. You can use the process monitoring tab to view various metrics and statistics about your processes, such as memory usage, execution time, node count, error count, etc. You can also filter, sort, and export the data for further analysis. The process monitoring tab can help you identify which processes have the highest memory footprint and potential performance issues.
• Appian Health Check report. The Appian Health Check report is a tool that provides insights into application design patterns and performance risks in your environment. The report covers four areas of your environment: design, user experience, infrastructure, and configuration. The report also includes graphs highlighting historical trends, such as user activity, average response times, and resource utilization. The Appian Health Check report can help you identify which processes have the highest memory consumption and suggestions for mitigating them. References: Process Monitoring Tab, Understanding the Health Check Report

 The type of plug-in that should be created to perform a job in the background and not be available under an expression rule, connected system, or the process model is a servlet plug-in. A servlet plug-in is a plug-in that allows you to create custom servlets that can be accessed through a URL. Servlets are Java classes that run on a web server and handle requests and responses. Servlet plug-ins can be used to perform background tasks, such as sending notifications, logging events, or integrating with external systems, without exposing them to the end users or developers. References: Servlet Plug-ins, Appian Suite Plug-ins