Dynatrace-Associate Dynatrace Associate Certification Exam Free Practice Exam Questions (2026 Updated)

When monitoring Kubernetes, Dynatrace provides multiple relevant data sources:

Prometheus metrics – ingested and analyzed alongside other metrics

Infrastructure-level metrics – CPU, memory, disk usage from nodes

Kubernetes-specific events and metrics – pods, deployments, namespaces, cluster events

Other options:

Code-level insights relate to application tracing, not Kubernetes data sources directly

OpenKit is used for custom user session tracking, not Kubernetes monitoring

In Dynatrace, “Slowdown” problems are typically triggered by performance degradation detected through anomaly detection on monitored entities.

With default settings, the root cause of slowdown problems is usually identified at:

Services, where response time degradation is detected

Processes, where CPU, memory, or other resource bottlenecks occur

Hosts, where infrastructure-level issues impact performance

Applications are higher-level aggregations and are not typically identified as the root cause entity.

Cloud Providers are not treated as root cause entities in anomaly detection.

Dynatrace’s AI (Davis) correlates these entities to pinpoint the most likely root cause in the topology.