QUESTION: 69

You are analyzing application performance and identify a data transform exceeding preferred performance parameters.
Which performance tool do you use to help troubleshoot the issue?

Performance Profiler
Database Trace
Performance Analyzer (PAL)
Tracer

Answer(s): C

Explanation:

When analyzing a data transform that is exceeding preferred performance parameters, the Performance Analyzer (PAL) (C) is the most suitable tool to use. PAL provides detailed metrics on various aspects of system performance, including CPU usage, database interactions, and rule execution times. By using PAL to analyze the performance of a data transform, you can identify specific areas where inefficiencies occur, such as excessive database reads or writes, loop iterations, or other resource-intensive operations. This insight allows for targeted optimizations to improve the performance of the data transform and the overall application.

Reference:

Pega Community documentation on Performance Analyzer (PAL) and performance troubleshooting.

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QUESTION: 70

Which statement describes the appropriate use of the Purge/Archive wizard to address application performance?

Delete any properties exposed in table columns from the BLOB.
Remove old cases to reduce the size of a database table.
Delete stored SQL procedures that have been updated.
Remove unused rules caches maintained on the system.

Answer(s): B

Explanation:

The Purge/Archive wizard in Pega Platform is appropriately used to remove old cases to reduce the size of a database table (B). Over time, completed or resolved cases can accumulate in the system, leading to large table sizes that can negatively impact application performance. By archiving these cases, you can move them out of the primary database tables into an archive, and by purging, you can delete cases that are no longer needed. This process helps maintain optimal database performance and manage storage costs effectively.

Reference:

Pega Community documentation on the Purge/Archive wizard and database maintenance best practices.

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QUESTION: 71

Graduate school students create and submit project proposals to their advisors. During the proposal phase, the advisor and the student can each edit the draft proposal. How do you ensure the advisor and the student can simultaneously edit the proposal, and the application can check the proposal for changes before committing them?

Configure the locking on the case type to allow one user.
Configure the locking on the case type to allow multiple users.
Configure an assignment for the advisor and an assignment for the student.
Configure the student and advisor roles with view and edit permission.

Answer(s): B

Explanation:

To ensure that the advisor and the student can simultaneously edit the draft proposal, configure the locking on the case type to allow multiple users (B). This setting enables a shared access model, where multiple users can work on the case at the same time. Additionally, Pega's conflict resolution mechanisms can be utilized to check for changes before committing them to the database, ensuring that any concurrent edits are properly managed and the integrity of the proposal is maintained.

Reference:

Pega Community documentation on case locking and concurrent editing.

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QUESTION: 72

A flow action calls a pre-processing data transform to initiate values. There are several flow actions available for the assignment. You want to make sure that the values are only initiated once for each flow action.
How do you implement a solution?

Add logic to the pre-processing data transform to test if values were already initiated.
Do nothing. The pre-processing data transform is only called once for each assignment.
Make sure that the flow action does not have the highest likelihood since it will always be invoked.
Configure the data transform as post-processing instead of pre-processing.

Answer(s): A

Explanation:

To ensure that the values are only initiated once for each flow action, add logic to the pre-processing data transform to test if the values were already initiated (A). This logic can prevent the reinitialization of values that have already been set, allowing the pre-processing to only set default values when they are not present, avoiding any unwanted overwrites or duplications of effort.

Reference:

Pega Community documentation on data transforms and flow action pre-processing.

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