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Dynatrace Dynatrace-Associate Exam Overview:

Certification Vendor:Dynatrace
Exam Name:Dynatrace Associate Certification Exam
Exam Number:Dynatrace-Associate
Exam Format:Multiple choice, Multiple response
Exam Duration:105 minutes
Real Exam Qty:70
Exam Price:$200 USD
Passing Score:72%
Related Certifications:Dynatrace Associate
Available Languages:Multiple languages, English
Sample Questions:Dynatrace Dynatrace-Associate Sample Questions
Exam Way:Online proctored exam
Pre Condition:Approximately six months of hands-on experience with Dynatrace is recommended. No formal prerequisites.
Official Syllabus URL:https://www.dynatrace.com/certification/

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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
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
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
Topic 4
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
Topic 5
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 6
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 7
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 8
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 9
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 10
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.

Dynatrace Associate Certification Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
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,D,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 # 59
What tool would I use on my Kubernetes or OpenShift cluster to deploy and configure Dynatrace components?

Answer: A

Explanation:
The Dynatrace Operator is the recommended tool for Kubernetes/OpenShift:
* Automates deployment of OneAgent
* Manages configuration and lifecycle
* Ensures cloud-native full-stack monitoring
Other options:
* CSI Driver handles storage integration
* OneAgent is deployed by the Operator
* Prometheus is unrelated
Reference: Based on official Dynatrace University training materials on Kubernetes deployment.


NEW QUESTION # 60
Where can I find officially supported Dynatrace Extensions to extend the monitoring capability of the Dynatrace platform?

Answer: C

Explanation:
The Dynatrace Hub is the central location for discovering and managing officially supported extensions that enhance the monitoring capabilities of the Dynatrace platform. It provides a curated collection of extensions built and maintained by Dynatrace, ensuring compatibility and support. These extensions cover a wide range of technologies and use cases, allowing users to tailor their monitoring environment to specific needs.
While GitHub hosts various open-source projects related to Dynatrace, not all are officially supported or maintained by Dynatrace. The Dynatrace Community is a valuable resource for user discussions, troubleshooting, and sharing best practices but does not serve as a repository for official extensions.
Dynatrace University offers training and educational materials to help users understand and utilize Dynatrace effectively but is not a source for extensions.
Reference: Based on official Dynatrace University training materials and product documentation.


NEW QUESTION # 61
In Distributed Traces, how is the trace-id propagated in an environment?

Answer: C

Explanation:
In distributed tracing, Dynatrace follows standard tracing protocols (such as W3C Trace Context), where the trace ID is propagated via HTTP headers between services.
This enables:
* End-to-end trace continuity across services
* Correlation of requests across distributed systems
* Seamless tracking through microservices architectures
The trace context is typically included in headers like traceparent, ensuring each downstream service continues the same trace.
Other options are incorrect because:
* XML and JSON payloads are not used for trace propagation
* TLS handshake is unrelated to trace context propagation
Reference: Based on official Dynatrace University training materials covering distributed tracing and W3C trace context.


NEW QUESTION # 62
Which Dynatrace capability can be used to query ingested log data?

Answer: C

Explanation:
DQL (Dynatrace Query Language) is the primary language used to query ingested data in Dynatrace, including logs.
It enables:
* Advanced filtering and aggregation
* Correlation across logs, metrics, and traces
* Flexible data analysis within Grail
Other options:
* USQL is legacy
* SQL is not used
* JavaScript is not a query language in Dynatrace
Reference: Based on official Dynatrace University training materials on Grail and DQL.


NEW QUESTION # 63
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