Pega CSA PEGACPSA23V1 Exam Questions and Answers PDF

In Agile Workbench, when a stakeholder identifies an issue like a missing option in a dropdown list during a playback session, the appropriate work item to create is a "Bug." This is because the issue represents a deviation from the expected functionality or requirements that need to be addressed by the development team. Bugs in Agile Workbench are used to track errors or problems that need resolution to meet the outlined specifications or user expectations.

In the context of the case life cycle displayed in the image:

A. When the Process ticket step starts. The status of the case is typically set to a new value at the beginning of a step where that status is configured. Therefore, when the Process ticket step begins, the case status would change to Pending-Triage, reflecting that the case is now in the process of being triaged. This status remains until the step is completed or until the status is explicitly changed by another step in the process.

Service Level Agreements (SLAs) in Pega are used to define and enforce time limits for completing work and other time-based conditions:

B. A transaction review is completed within 24 hours. This is a direct application of SLAs, where a specific time frame (24 hours) is set as a target for completing a process step, such as a transaction review. SLAs ensure that such time-bound requirements are met, facilitating prompt and efficient service delivery.

Unit testing in Pega involves verifying specific conditions within the application to ensure they function as intended:

A. A data page populates without any errors. This test confirms that the data page is configured correctly and can retrieve and display data without issues, which is crucial for ensuring the reliability of data-dependent features in the application.

B. A property value is set correctly by a data transform. Testing this condition ensures that data transforms, which are used to manipulate data within the application, are correctly modifying and setting values as expected, which is fundamental for maintaining data integrity and application logic.