Pegasystems PEGACPLSA88V1 Exam With Confidence Using Practice Dumps

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.

References:

Pega Performance: Database Performance and Tuning

Pega Alerts: Configuring Alerts and Thresholds

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.

References:

Pega Troubleshooting: Pega Log Analyzer

Pega Performance: Monitoring and Troubleshooting

 The Adaptive Model decision component automatically computes a property called Propensity.

 Propensity is the likelihood or probability that a particular action will result in the desired outcome.

 This property is used to rank and prioritize decisions based on predicted customer behavior.