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Dynatrace Dynatrace-Associate Exam Overview:

Certification Vendor:Dynatrace
Exam Name:Dynatrace Associate Certification Exam
Exam Number:Dynatrace-Associate
Exam Duration:105 minutes
Passing Score:72%
Available Languages:English, Multiple languages
Related Certifications:Dynatrace Associate
Exam Format:Multiple response, Multiple choice
Real Exam Qty:70
Exam Price:$200 USD
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
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 3
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
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
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 6
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 7
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 8
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.

Dynatrace Associate Certification Exam Sample Questions (Q25-Q30):

NEW QUESTION # 25
Name the 3 pillars of observability?

Answer: A,C,D

Explanation:
The three pillars of observability are:
* Metrics - numerical performance data
* Logs - event-based records
* Traces - end-to-end request tracking
These pillars provide the foundation for understanding system behavior.
Other options:
* Automation is not a pillar
* RUM is a capability built on top of these pillars
Reference: Based on standard observability principles covered in Dynatrace University.


NEW QUESTION # 26
How can I automatically update the RUM JavaScript when manually inserting into my application at build time?

Answer: A

Explanation:
The Dynatrace API can be used to dynamically retrieve the latest version of the RUM JavaScript snippet during build time. This ensures that the most up-to-date script is always injected into the application without manual updates.
Other options:
* ActiveGate is for communication and routing
* OpenKit is for custom apps
* OneAgent is not used in agentless/manual injection
Reference: Based on official Dynatrace University training materials on RUM deployment.


NEW QUESTION # 27
What tool would I use on my Kubernetes or OpenShift cluster to deploy and configure Dynatrace components?

Answer: C

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 # 28
I need to count the number of occurrences of a log entry, which Dynatrace capability provides this?

Answer: D

Explanation:
Log Metrics allow converting log occurrences into measurable metrics.
They enable:
* Counting occurrences
* Creating thresholds and alerts
* Trend analysis
Other options:
* Log Viewer = manual view
* Log Events = alerting
* Anomaly detection = metric-based
Reference: Based on official Dynatrace University training materials on log analytics.


NEW QUESTION # 29
How many threshold values can you set in Data Explorer?

Answer: C

Explanation:
In Dynatrace Data Explorer , you can configure up to five threshold values for a metric. These thresholds allow users to define multiple levels of severity or ranges for visualization and alerting purposes.
This enables:
* Better visualization of metric boundaries
* Clear differentiation between normal, warning, and critical states
* Enhanced dashboard customization
Options with fewer or more thresholds do not align with the platform's supported configuration.
Reference: Based on official Dynatrace University training materials covering Data Explorer and metric analysis.


NEW QUESTION # 30
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