QUESTION: 41

What two recommendations do you provide to the development team to ensure the performance of the Pega application does not degrade over time? (Choose Two)

Add indexes to all columns.
Purge workparty UUI index tables periodically.
Schedule scripts to maintain frequently fragmented tables.
Purge and/or archive records based on the company's record retention policy.

Answer(s): C,D

Explanation:

To ensure the performance of the Pega application does not degrade over time, consider the following recommendations:
Maintain Fragmented Tables: Schedule scripts to regularly maintain and defragment tables that are frequently updated. This helps in optimizing database performance. Purge and Archive Records: Implement purging and archiving strategies based on the company's record retention policy. This practice helps in managing data growth and ensures that the system remains performant over time.

Reference:

Database Maintenance
Data Archiving

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QUESTION: 42

Users in a cloud-based production application report a chronic performance issue that occurs every day between 2:00 P.M. and 4:00 P.M. AH attempts to reproduce the problem in the Development, QA, and Staging environments have failed.
Which two techniques help you troubleshoot the problem? (Choose Two)

Review Performance Alerts and Exceptions in PDC.
Review a Production Tracer Log using SMA.
Review Alerts and Exceptions using PLA.
Review Performance Alerts and Exceptions in AES.

Answer(s): A,C

Explanation:

To troubleshoot chronic performance issues in a cloud-based production application, you can use the following techniques:
Performance Alerts and Exceptions in PDC: Review the alerts and exceptions in Pega Predictive Diagnostic Cloud (PDC). PDC provides real-time monitoring and insights into performance issues. Performance Alerts and Exceptions using PLA: Use the Pega Log Analyzer (PLA) to review alerts and exceptions. PLA helps in identifying and diagnosing performance bottlenecks by analyzing log files.

Reference:

Pega Predictive Diagnostic Cloud (PDC)
Pega Log Analyzer (PLA)

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QUESTION: 43

XYZ Corp users are experiencing delays in the application that you suspect is related to the database Which two options do you recommend to isolate the issue? (Choose Two)

Write Pega logs to the database server.
Investigate when the database is used most heavily.
Lower query-time-related alert thresholds.
Increase the threshold for blob-size alerts.

Answer(s): B,C

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QUESTION: 44

You isolated the problem to node ! of the cluster. Y see node 1 goes down shortly «ift<rr 3:00 P.M.
every day with an out-of-memory error.
What is the likely cause of the out of-memory error?

At 3:00 P.M., managers view multiple reports displaying open assignments and cases so they can plan work for the following day.
At 3:00 P.M., a robotic process automation runs every day. The mapping of results to each case type horn the automation is CPU intensive.
At 3:00 P.M., a job scheduler is mistakenly configured to run on a single Web Tier node that pulls an increasingly large number of records onto a clipboard page each day.
At 3:00 P.M., a shift change occurs and several users login and display the" work list and dashboard.

Answer(s): C

Explanation:

The out-of-memory error occurring shortly after 3:00 P.M. is likely caused by a job scheduler running on a single Web Tier node and pulling a large number of records onto a clipboard page. This operation consumes a significant amount of memory, leading to the node running out of available memory and crashing.

Reference:

Pega Performance: Diagnosing Memory Issues
Pega Schedulers: Job Scheduler Configuration

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Free PEGACPLSA88V1 Exam Braindumps (page: 11)

QUESTION: 41

Explanation:

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QUESTION: 42

Explanation:

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QUESTION: 43

QUESTION: 44

Explanation:

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