Which use case is NOT typically associated with DQL?

DQL, or Dynatrace Query Language, is primarily designed to help users derive insights from the rich dataset that Dynatrace collects during application performance monitoring and observability efforts. This language can be leveraged for various use cases, among which troubleshooting, anomaly detection, and traffic comparison are prevalent.

Troubleshooting is a central use case where DQL allows users to write queries that can dig deep into problems, helping to understand the root causes of performance issues by querying logs, traces, and metric data. Anomaly detection also heavily utilizes DQL, enabling users to identify patterns and deviations from normal behavior in their applications and services by analyzing historical data trends.

Traffic comparison is another valid use case tied to DQL, as it allows teams to compare different traffic patterns over time or between services, aiding in performance assessments and decisions around resource allocation.

On the other hand, cloud cost management typically involves different data sets and analysis techniques that focus more on billing, usage statistics, and cost-related metrics rather than performance metrics or application behaviors. While monitoring performance can indirectly influence cost management decisions, the direct analysis and management of cloud costs falls outside the typical scope of DQL usage. Thus, it stands out as the least associated use case with DQL.