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NEW QUESTION # 76
Which of the following describes a single operation within a Trace?
Answer: A
Explanation:
A Span represents a single unit of work within a distributed trace.
* A Trace is the full end-to-end transaction
* A Span is one step within that trace
Other options:
* Context carries metadata
* Span kind defines role
* Exporter sends data
Only Span represents a single operation.
Reference: Based on official Dynatrace University training materials on distributed tracing.
NEW QUESTION # 77
Which of the following properties are added to your ingested log data when trace enrichment for logs is enabled? (Select all that apply)
Answer: B,C,D
Explanation:
When trace enrichment for logs is enabled in Dynatrace, additional metadata is automatically added to logs to correlate them with distributed traces.
The key properties added include:
* dt.trace_id - uniquely identifies the distributed trace
* dt.span_id - identifies the specific span within the trace
* dt.entity.process_group_instance - links the log to the specific monitored process instance These attributes enable:
* Seamless correlation between logs and traces
* End-to-end observability across services
* Faster root cause analysis by linking logs directly to transactions
The other options are not part of trace enrichment:
* dt.security_context is related to log access control, not trace enrichment
* DT_RELEASE_VERSION is used for versioning metadata, not tracing
Reference: Based on official Dynatrace University training materials covering log monitoring and trace-log correlation.
NEW QUESTION # 78
How often are Classic Dashboard reports sent out? (Select all that apply)
Answer: A,D
Explanation:
Classic dashboard reports can be scheduled:
* Weekly
* Monthly
Daily and bi-weekly options are not supported in classic reporting.
Reference: Based on official Dynatrace University training materials on reporting.
NEW QUESTION # 79
Which steps would I need to perform to automatically detect anomalies, such as cluster CPU-request saturation events on a node, in my Kubernetes environment?
Answer: A,B,D
Explanation:
To enable automatic anomaly detection in Kubernetes:
* Connect Dynatrace to the Kubernetes API to gather cluster data
* Deploy OneAgent (via container/Docker/Operator) to monitor nodes and workloads
* Enable Kubernetes anomaly detection settings in Dynatrace
This allows Dynatrace to automatically detect issues like CPU saturation.
RUM is unrelated to infrastructure anomaly detection.
Reference: Based on official Dynatrace University training materials on Kubernetes monitoring and anomaly detection.
NEW QUESTION # 80
Which of the following data points can be found within a User Session?
Answer: A,B,D,E
Explanation:
A User Session in Dynatrace contains detailed information about user interactions and experience:
* User Tags - custom identifiers assigned to users
* Session and Action Properties - metadata describing session behavior
* JavaScript and Request Errors - frontend and backend errors impacting the session
* User Actions - all interactions such as clicks, page loads, and XHR calls Server-side code-level insights are not directly part of the user session view; they belong to service-level and distributed tracing analysis.
Reference: Based on official Dynatrace University training materials on Real User Monitoring and user sessions.
NEW QUESTION # 81
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