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Dynatrace Dynatrace-Associate Exam Overview:

Certification Vendor:Dynatrace
Exam Name:Dynatrace Associate Certification Exam
Exam Number:Dynatrace-Associate
Exam Price:$200 USD
Available Languages:Multiple languages, English
Real Exam Qty:70
Exam Duration:105 minutes
Exam Format:Multiple choice, Multiple response
Related Certifications:Dynatrace Associate
Passing Score:72%
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
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
Topic 2
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 3
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 4
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 5
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 6
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
Topic 7
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
Topic 8
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.

Dynatrace Associate Certification Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
I have a Smart IoT device which supports neither OneAgent nor Agentless RUM. What could I use to track User Sessions in Dynatrace?

Answer: A

Explanation:
OpenKit is used for custom instrumentation when standard agents are not supported.
It enables:
* Tracking user sessions
* Sending custom telemetry data
* Monitoring IoT or unsupported environments
Reference: Based on official Dynatrace University training materials on OpenKit.


NEW QUESTION # 82
Log files from my application may contain messages with errors. Whenever messages like these occur, we wish to notify support teams to investigate. Which Dynatrace feature would best address this ask?

Answer: E

Explanation:
Log Events allow Dynatrace to detect specific patterns (such as error messages) in logs and automatically trigger alerts.
They enable:
* Detection of error patterns in logs
* Creation of events/problems
* Notification of support teams
Other options:
* Log Processing rules transform logs, not alert
* Anomaly detection rules are metric-based
* Log Metrics convert logs into metrics but don't directly alert
* Log Viewer is for manual inspection
Reference: Based on official Dynatrace University training materials on log monitoring and alerting.


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
I need to perform data transformation on logs during the ingestion phase, which capability provides this functionality?

Answer: B

Explanation:
Log Processing rules in Dynatrace allow transformation of log data during the ingestion phase.
They enable:
* Parsing and structuring log data
* Masking sensitive information
* Enriching logs with additional attributes
* Filtering and modifying log content before storage
Other options are unrelated:
* Anomaly detection rules are for alerting
* Log events are outputs, not transformation tools
* Custom process monitoring rules and service detection rules are unrelated to logs Reference: Based on official Dynatrace University training materials on log monitoring and processing.


NEW QUESTION # 85
How can Business Event data be ingested into Dynatrace?

Answer: A,D

Explanation:
Business Event data can be ingested into Dynatrace using:
* Dynatrace API - allows sending structured business events directly into the platform
* OpenTelemetry - supports ingestion of custom event data through open standards Other options are incorrect:
* OneAgent focuses on observability data, not business events
* Logs are separate data types, not primary business event ingestion
* RUM captures user interactions, not structured business events
These ingestion methods enable flexible integration of business data into Dynatrace for analysis.
Reference: Based on official Dynatrace University training materials on Business Events and Grail ingestion.


NEW QUESTION # 86
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