QUESTION: 33

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

Add indexes to all columns.
Purge workparty UlU 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 a Pega application does not degrade over time, two key recommendations are:
Schedule scripts to maintain frequently fragmented tables (C): Table fragmentation can lead to inefficient database performance. Regular maintenance scripts can help defragment these tables, ensuring that data retrieval remains efficient.
Purge and/or archive records based on the company's record retention policy (D): Over time, the accumulation of records can slow down application performance. Implementing a purge or archive strategy based on the company's retention policy helps manage database size and performance.

Reference:

Pega Database Management: Best Practices for Database Maintenance Pega Performance: Improving Application Performance

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QUESTION: 34

Users in a cloud-based production application report a chronic performance issue that occurs every day between 2:0 P.M. and 4:00 P.M. All attempts to reproduce the problem in the Development, QA, and Staging environments have (ailed.
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,D

Explanation:

To troubleshoot a chronic performance issue in a cloud-based production application:
Review Performance Alerts and Exceptions in PDC (A): Pega Predictive Diagnostic Cloud (PDC) monitors and reports on the health and performance of Pega applications in real-time. Reviewing alerts and exceptions here can provide insights into the root causes of performance issues. Review Performance Alerts and Exceptions in AES (D): Pega Autonomic Event Services (AES) also monitors system health and performance. It can help identify patterns and issues that occur during specific time frames.

Reference:

Pega PDC: Understanding Pega Predictive Diagnostic Cloud Pega AES: Pega Autonomic Event Services Overview

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QUESTION: 35

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

Explanation:

To isolate database-related performance issues:
Investigate when the database is used most heavily (B): Understanding peak usage times can help pinpoint when the database is under the most strain. This information is crucial for identifying potential bottlenecks and optimizing performance.
Lower query-time-related alert thresholds (C): By lowering the alert thresholds for query times, you can capture more detailed information about slow-running queries, helping to identify and address inefficient database operations.

Reference:

Pega Performance: Database Performance and Tuning
Pega Alerts: Configuring Alerts and Thresholds

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QUESTION: 36

How do you begin your research to diagnose the cause of the reported performance issue?

Look at the performance profile and DB Trace out put from each node.
Observe the cluster and node status on the Enterprise Health Console.
Review guardrail warnings in the development environment to determine if any rules with warnings moved to production.
Download the alert log file from each node and analyze the contents in the Pega Log Analyzer.

Answer(s): D

Explanation:

To diagnose the cause of a reported performance issue:
Download the alert log file from each node and analyze the contents in the Pega Log Analyzer (D):
The alert log contains detailed information about performance issues. Analyzing this data using the Pega Log Analyzer (PLA) helps identify the root causes of performance problems.

Reference:

Pega Troubleshooting: Pega Log Analyzer
Pega Performance: Monitoring and Troubleshooting

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QUESTION: 33

Explanation:

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QUESTION: 34

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QUESTION: 35

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QUESTION: 36

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