What does the 'Analyze Outliers' feature allow you to examine?

The 'Analyze Outliers' feature is designed to help users identify and examine data points that deviate significantly from the norm within a specified dataset. This capability is particularly valuable in the context of performance monitoring, where understanding the behavior of requests that fall within specific response ranges can reveal insights into potential issues affecting application performance.

When analyzing outliers, the focus is on identifying those requests that are responding outside of expected parameters, allowing teams to detect inefficiencies, errors, or areas requiring optimization. This feature highlights anomalies in response times that could indicate broader issues within the application or infrastructure, enabling proactive performance management.

The relevance of other choices becomes clearer when considering their context. While third-party program interactions, individual process memory usage, and general application uptime provide important information, they do not specifically relate to the analysis of response times and the identification of outlier behavior as the primary function of the 'Analyze Outliers' feature does. Thus, the focus on requests responding within specified response ranges makes this choice the most aligned with the feature's purpose.