What requests are included in Hot Spot Analysis?

Hot Spot Analysis is a methodology used to identify and analyze metrics that indicate potential issues in application performance. The focus is on examining areas where performance deviates significantly from the expected standards. The correct choice emphasizes Slow response time, high failure rate, or high CPU as key indicators, which are critical in identifying performance bottlenecks.

Slow response times highlight areas where users may face delays, indicating that a particular component might be struggling under the load. High failure rates suggest reliability issues, meaning that users are not only experiencing delays but may also encounter errors. The indication of high CPU usage points to potential resource exhaustion, which can lead to both slow response times and increased failure rates if the system cannot handle incoming requests efficiently.

In contrast, other options mention aspects that may not be directly related to immediate application performance concerns. High CPU and memory usage may be part of the analysis but do not capture the essence of user experience directly. Exceeding network bandwidth is an important metric, yet it reflects network issues rather than application performance directly. Low user engagement metrics could imply problems but do not directly correlate with the responsiveness or reliability of the application itself, which is the primary focus of Hot Spot Analysis.