PEGACPSSA23V1 Practice Exam Questions and Answers

Pega best practices recommend keeping activities short to enhance maintainability and readability. Custom Java steps should be limited to reduce complexity and potential errors. Activities should also be limited in general, with preference given to other rule types that are more declarative and less procedural, like data transforms, to improve application performance and maintainability. References: Pega SSA course materials on activity best practices.

In attribute-based access control (ABAC), an attribute can be a property (such as an age or status), a Boolean value (indicating true or false conditions), or a single string (such as a name or identifier). These attributes are evaluated to determine access rights within the application. References: Pega Platform Help - ABA

C.  

• A: The Application Guardrails landing page does count the number of rules with severe or moderate warnings, as these can have a significant impact on the application's performance and maintainability.
• B: Guardrail scores exclude Pega Platform core rules since these are established by Pega and are assumed to be optimized.
• C: The landing page also counts the number of rules with no warnings or caution-level warnings, which contribute positively to the overall compliance score. References: Pega official documentation on the Application Guardrails landing page and guardrail scores.

• B: Mashup requests are checked for the corresponding mashup channel ID parameter to ensure that the request is coming from a trusted source and is intended for the Pega application.
• D: A user can view their worklist in an external portal and select items on which to take action, which is one of the key features of the Pega Web Mashup as it extends Pega's capabilities to external web pages. References: Pega official documentation on Pega Web Mashup capabilities.

The compliance score of an application in Pega Platform includes items such as rules with unjustified warnings in the application (A), rules with warnings in the application (D), and the percentage of compliant rules in the application (E). These metrics provide insights into the application's adherence to best practices and guardrails, highlighting areas that may require attention to improve application quality, maintainability, and performance.References: Pega Community documentation on Application Quality Dashboard and compliance scoring.