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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
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 3
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 4
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 5
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 6
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 7
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.

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Dynatrace Associate Certification Exam Sample Questions (Q75-Q80):

NEW QUESTION # 75
Which capability allows me to integrate Synthetic monitors into my CI/CD pipeline to automate the execution?

Answer: B

Explanation:
On-demand execution allows Synthetic monitors to be triggered programmatically, making it ideal for integration into CI/CD pipelines .
This enables:
* Automated execution of Synthetic tests during deployments
* Validation of application availability and performance
* Integration with DevOps workflows
Other options:
* HTTP monitor is a test type
* Private locations define execution location
* Credential vault stores secrets
Only On-demand execution supports automation in CI/CD pipelines.
Reference: Based on official Dynatrace University training materials on Synthetic Monitoring automation.


NEW QUESTION # 76
Which of the following is the default threshold type used for anomaly detection on Hosts (CPU saturation, memory saturation, disk utilization...)?

Answer: C

Explanation:
Dynatrace uses Automated Multi-Dimensional Baselining as the default anomaly detection method for host metrics such as CPU, memory, and disk utilization.
This approach:
* Automatically learns normal behavior patterns over time
* Adjusts thresholds dynamically based on historical data
* Considers multiple dimensions such as time of day and workload patterns This allows Dynatrace to detect anomalies more accurately compared to fixed thresholds.
Static thresholds are manually defined and not the default.
Other options are unrelated to anomaly detection mechanisms.
Reference: Based on official Dynatrace University training materials covering anomaly detection and Davis AI.


NEW QUESTION # 77
What steps would I need to perform to analyze logs?

Answer: D,E

Explanation:
To analyze logs in Dynatrace, two essential steps are required:
* Ingest logs into Dynatrace - logs must first be collected and stored in the platform (Grail)
* Use DQL (Dynatrace Query Language) - to query, filter, and analyze the ingested log data These steps allow users to extract insights, detect issues, and correlate logs with other observability data.
Other options are not part of log analysis:
* RUM is for user experience monitoring
* Distributed Traces are for request tracking
* Operator is for Kubernetes deployment
Reference: Based on official Dynatrace University training materials on log monitoring and DQL.


NEW QUESTION # 78
I need to count the number of occurrences of a log entry, which Dynatrace capability provides this?

Answer: A

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 # 79
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: D

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 # 80
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