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NEW QUESTION # 33
For supported technologies, do Kubernetes workloads and pods get monitored differently than traditionally monitored OneAgent processes?
Answer: B
Explanation:
Yes, Kubernetes workloads and pods are monitored differently compared to traditional OneAgent-monitored processes. When Dynatrace is deployed into Kubernetes using the Dynatrace Operator, the OneAgent automatically injects itself into each pod at runtime. This means each container is monitored independently and is shown in Dynatrace as a container entity , not as a traditional process.
This container-based visibility is designed to suit the dynamic and short-lived nature of Kubernetes environments. Traditional OneAgent monitoring associates metrics and topology with processes and hosts, but in Kubernetes, the emphasis shifts toward containers, pods, and workloads. This shift allows Dynatrace to provide accurate and timely data on what's really happening inside containerized apps, aligned with Kubernetes-native objects and metrics.
Other answer options either misstate the behavior (e.g., no service data or requiring OpenTelemetry) or oversimplify the relationship between traditional and Kubernetes monitoring (e.g., "same general information"), making Option E the only correct and fully accurate one.
Reference: Based on official Dynatrace University training content and architecture documentation.
NEW QUESTION # 34
How many threshold values can you set in Data Explorer?
Answer: D
Explanation:
In Dynatrace Data Explorer , you can configure up to five threshold values for a metric. These thresholds allow users to define multiple levels of severity or ranges for visualization and alerting purposes.
This enables:
* Better visualization of metric boundaries
* Clear differentiation between normal, warning, and critical states
* Enhanced dashboard customization
Options with fewer or more thresholds do not align with the platform's supported configuration.
Reference: Based on official Dynatrace University training materials covering Data Explorer and metric analysis.
NEW QUESTION # 35
I want to import metrics on a platform that is not supported by the OneAgent, what options do I have? (Select all that apply)
Answer: A,C
Explanation:
When a platform is not supported by OneAgent, Dynatrace provides alternative methods to ingest metrics:
* OpenTelemetry allows ingestion of metrics using open standards, enabling integration with unsupported platforms by exporting telemetry data into Dynatrace
* Dynatrace Extensions (especially Extensions v2) allow users to collect custom metrics from technologies that are not natively supported Installing ActiveGate alone does not enable metric ingestion unless it is used in combination with extensions or APIs. Creating a Dynatrace App is unrelated to metric ingestion and is instead used for building custom UI or workflows within the platform.
Reference: Based on official Dynatrace University training materials on metric ingestion and extensions.
NEW QUESTION # 36
Which options does Dynatrace support for Tracing? (Select all that apply)
Answer: A,B,D
Explanation:
Dynatrace supports multiple approaches for distributed tracing:
* OpenTracing is supported as an open standard for instrumenting applications and sending trace data
* OpenTelemetry is the modern, preferred open standard for collecting and exporting traces, metrics, and logs into Dynatrace
* Dynatrace OneAgent SDK enables custom instrumentation for tracing in cases where automatic instrumentation is not sufficient Dynatrace RUM focuses on capturing real user interactions and frontend performance, not distributed tracing.
Dynatrace Operator is used for deploying OneAgent in Kubernetes environments and does not provide tracing capabilities itself.
These supported tracing methods allow Dynatrace to capture end-to-end distributed traces across modern, cloud-native, and custom environments.
Reference: Based on official Dynatrace University training materials covering distributed tracing and instrumentation.
NEW QUESTION # 37
A problem opened with the event category of "Slowdown". Assuming Dynatrace is using the default anomaly detection settings, what entity types can be the root cause of this problem? (Select all that apply)
Answer: A,C,E
Explanation:
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.
Reference: Based on official Dynatrace University training materials covering problem detection and Davis AI root cause analysis.
NEW QUESTION # 38
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