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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 2
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 3
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 4
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
Topic 5
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
Topic 6
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 7
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.

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Dynatrace Associate Certification Exam Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which of the following capabilities are available on the Dynatrace Platform?

Answer: A,B,C,E

Explanation:
Dynatrace provides a comprehensive observability platform including:
* Application Observability - full-stack monitoring of applications
* Infrastructure Observability - monitoring hosts, cloud, and containers
* Business Events Monitoring - capturing and analyzing business data
* Application Security - runtime vulnerability detection and protection OpenSource is not a Dynatrace platform capability.
Reference: Based on official Dynatrace University training materials covering platform capabilities.


NEW QUESTION # 81
Which of the cloud providers does Dynatrace natively support without extensions?

Answer: A,B,C

Explanation:
Dynatrace provides native integration (without requiring extensions) for the major hyperscalers:
* Amazon Web Services (AWS)
* Microsoft Azure
* Google Cloud Platform (GCP)
These integrations provide deep visibility into cloud services, APIs, and metrics.
Other providers:
* DigitalOcean and IBM Cloud are not natively supported at the same level and typically require extensions or custom integration.
Reference: Based on official Dynatrace University training materials on cloud platform monitoring.


NEW QUESTION # 82
Which metrics are presented within the Databases app? (Select all that apply)

Answer: B,C

Explanation:
The Databases app in Dynatrace provides infrastructure and performance-level metrics for databases.
Key metrics include:
* Memory Consumption , indicating how much memory the database is using
* Active Sessions , showing current connections and workload
These metrics help in understanding database health and performance.
Other options are not part of this app:
* Code-level insights are provided via services and distributed tracing
* User Calls relate to application/service monitoring
* Database vulnerabilities are part of Application Security, not database performance metrics Reference: Based on official Dynatrace University training materials covering database monitoring.


NEW QUESTION # 83
Which language is required to be used to query Business Event data?

Answer: D

Explanation:
Dynatrace uses DQL (Dynatrace Query Language) to query Business Event data stored in Grail.
DQL enables:
* Querying across logs, metrics, traces, and business events
* Advanced filtering, aggregation, and correlation
* Unified analysis across all observability and business data
Grail is the data platform, not a query language.
SQL is not used in Dynatrace for this purpose.
USQL is legacy and not used for Grail-based querying.
Reference: Based on official Dynatrace University training materials covering Grail and DQL.


NEW QUESTION # 84
Which of the following properties are added to your ingested log data when trace enrichment for logs is enabled? (Select all that apply)

Answer: A,D,E

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 # 85
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