What feature does Dynatrace use to filter monitoring data during a load test?

The feature that Dynatrace uses to filter monitoring data during a load test is request attributes. Request attributes in Dynatrace allow you to tag and categorize requests based on specific parameters or characteristics that are relevant to your monitoring needs. This capability is particularly useful during load testing, as it enables the analysis of performance metrics based on distinct criteria, such as user roles, geographical locations, or transaction types.

By leveraging request attributes, users can easily segment and analyze the data, pinpointing performance issues or bottlenecks that may arise under varying load conditions. This targeted filtering of data helps in providing more granular insights, facilitating better decision-making and optimization of application performance during testing scenarios.

Other choices, such as HTTP requests, session tokens, and error logs, contribute to monitoring and analyzing application performance but do not serve the specific purpose of filtering data in the nuanced way that request attributes do during load tests. HTTP requests represent the traffic being monitored, session tokens relate to user sessions, and error logs capture system errors, none of which provide the same targeted filtering capabilities as request attributes.