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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
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 3
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 4
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 5
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 6
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 7
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
Topic 8
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 9
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
Topic 10
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 11
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.

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Dynatrace Associate Certification Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
What are the critical features available with the Dynatrace Application Security feature?

Answer: A,C

Explanation:
Dynatrace Application Security provides:
* Runtime Vulnerability Analytics - detection of vulnerabilities in running applications
* Runtime Application Protection (RASP) - protection against exploits in real time It does NOT provide:
* Automatic remediation
* Traditional static/on-demand code scanning
Reference: Based on official Dynatrace University training materials on Application Security.


NEW QUESTION # 68
Your team has to investigate the performance of a database. Assuming all monitoring sources for a database are available, what tools can you use to find database performance information?

Answer: D

Explanation:
The 'Databases' app in Dynatrace offers a comprehensive, vendor-agnostic view of all monitored databases. It consolidates performance metrics such as CPU usage, memory consumption, active sessions, response times, and failed connections. It is designed to give users a centralized location for investigating the health and performance of databases, making it the primary tool for such tasks. The app enables teams to correlate issues with underlying infrastructure, understand resource consumption, and identify performance bottlenecks directly tied to the database.
Provided dashboards from a database extension may contain useful visualizations but lack the breadth of metrics and insights that the dedicated Databases app provides. Synthetic tests are primarily used for simulating user behavior to test availability and performance from the user's perspective-not for internal database monitoring. Looking at service data can help in understanding application-level issues but does not deliver detailed or direct metrics from the database layer.
Reference: Based on official Dynatrace University training materials and product documentation.


NEW QUESTION # 69
Which steps would I need to perform to automatically detect anomalies, such as cluster CPU-request saturation events on a node, in my Kubernetes environment?

Answer: A,B,C

Explanation:
To enable automatic anomaly detection in Kubernetes:
* Connect Dynatrace to the Kubernetes API to gather cluster data
* Deploy OneAgent (via container/Docker/Operator) to monitor nodes and workloads
* Enable Kubernetes anomaly detection settings in Dynatrace
This allows Dynatrace to automatically detect issues like CPU saturation.
RUM is unrelated to infrastructure anomaly detection.
Reference: Based on official Dynatrace University training materials on Kubernetes monitoring and anomaly detection.


NEW QUESTION # 70
Name the benefits of employing distributed tracing?

Answer: B,C,D,E,F

Explanation:
Distributed tracing provides deep visibility into application behavior, which leads to multiple business and operational benefits:
* Faster time to market through quicker issue resolution
* Improved internal collaboration by providing shared visibility across teams
* Improved SLA compliance through better monitoring and reliability
* Reduced MTTD and MTTR by enabling faster detection and troubleshooting
* Protected business outcomes by minimizing downtime and performance issues Session replay is a Digital Experience feature and not a direct benefit of distributed tracing.
Reference: Based on official Dynatrace University training materials on distributed tracing benefits.


NEW QUESTION # 71
Which of the cloud providers does Dynatrace natively support without extensions?

Answer: A,B,D

Explanation:
Dynatrace provides native integration (without requiring extensions) for the major hyperscalers:
* Amazon Web Services (AWS)
* Microsoft Azure
* Google Cloud Platform (GCP)
These integrations provide deep visibility into cloud services, APIs, and metrics.
Other providers:
* DigitalOcean and IBM Cloud are not natively supported at the same level and typically require extensions or custom integration.
Reference: Based on official Dynatrace University training materials on cloud platform monitoring.


NEW QUESTION # 72
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