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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 2
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
Topic 3
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
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
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 6
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 7
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
Topic 8
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 9
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 10
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 11
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.

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Dynatrace Associate Certification Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
What is the smallest aggregation time for recent metrics?

Answer: C

Explanation:
Dynatrace aggregates recent metrics at a minimum granularity of 1 minute .
This ensures:
* Efficient storage
* Consistent visualization
Smaller intervals like 10 or 30 seconds are not standard aggregation intervals.
Reference: Based on official Dynatrace University training materials on metrics.


NEW QUESTION # 36
What kind of problems can appear in Dynatrace? (Select all that apply)

Answer: A,B,C,D

Explanation:
Dynatrace categorizes problems based on the type of issue detected:
* Availability - when a service or application becomes unavailable
* Errors - when there is an increase in failure rate
* Slowdown - when response times degrade
* Resource - when infrastructure resources (CPU, memory, disk) are saturated Critical is not a problem type; it is a severity level used to indicate importance, not classification.
Reference: Based on official Dynatrace University training materials covering problem detection categories.


NEW QUESTION # 37
I want to use Dynatrace's global network of Synthetic Monitoring locations to monitor my application, which capability provides this?

Answer: D


NEW QUESTION # 38
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 # 39
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: B,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 # 40
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