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>> Dynatrace Dynatrace-Associate Key Concepts <<
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NEW QUESTION # 25
What steps would I need to perform to analyze logs?
Answer: B,C
Explanation:
To analyze logs in Dynatrace, two essential steps are required:
* Ingest logs into Dynatrace - logs must first be collected and stored in the platform (Grail)
* Use DQL (Dynatrace Query Language) - to query, filter, and analyze the ingested log data These steps allow users to extract insights, detect issues, and correlate logs with other observability data.
Other options are not part of log analysis:
* RUM is for user experience monitoring
* Distributed Traces are for request tracking
* Operator is for Kubernetes deployment
Reference: Based on official Dynatrace University training materials on log monitoring and DQL.
NEW QUESTION # 26
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,D
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 # 27
Which Dynatrace app would be best suited to retain the results of a DQL query for later analysis?
Answer: C
Explanation:
Notebooks are the best tool in Dynatrace for retaining and reusing DQL query results .
They allow users to:
* Store DQL queries
* Keep query results for later analysis
* Combine queries with text, documentation, and visualizations
* Share insights across teams
Other options:
* Dashboards are for visualization, not query retention
* Data Explorer is for ad-hoc analysis
* Reports are more static and not designed for iterative DQL workflows
Reference: Based on official Dynatrace University training materials on Notebooks and DQL usage.
NEW QUESTION # 28
Which Dynatrace capability can be used to query ingested log data?
Answer: C
NEW QUESTION # 29
Which attribute provides a unique value to view a transaction end-to-end?
Answer: B
Explanation:
The W3C trace ID uniquely identifies a distributed trace across all services and components involved in a transaction.
It enables:
* End-to-end visibility of a request
* Correlation of spans across multiple services
* Full trace reconstruction in distributed environments
Other attributes are not unique identifiers:
* Span kind describes the role of a span
* Process ID identifies a process, not a transaction
* Service type categorizes services
Only the W3C trace ID provides a globally unique identifier for a full transaction.
Reference: Based on official Dynatrace University training materials covering distributed tracing.
NEW QUESTION # 30
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