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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
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
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 4
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 5
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 6
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 7
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 8
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 9
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 10
  • 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 (Q18-Q23):

NEW QUESTION # 18
Which of these data sources can I utilize when a Kubernetes cluster is being monitored?

Answer: A,B,D

Explanation:
When monitoring Kubernetes, Dynatrace provides multiple relevant data sources:
* Prometheus metrics - ingested and analyzed alongside other metrics
* Infrastructure-level metrics - CPU, memory, disk usage from nodes
* Kubernetes-specific events and metrics - pods, deployments, namespaces, cluster events Other options:
* Code-level insights relate to application tracing, not Kubernetes data sources directly
* OpenKit is used for custom user session tracking, not Kubernetes monitoring Reference: Based on official Dynatrace University training materials on Kubernetes monitoring.


NEW QUESTION # 19
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 # 20
Which Synthetic capability will allow my organization to monitor its internal-only websites?

Answer: A

Explanation:
Private Synthetics are used to monitor internal applications that are not publicly accessible.
They run from:
* Private locations within your network
* Behind firewalls
This allows monitoring of internal-only systems securely.
Reference: Based on official Dynatrace University training materials on Synthetic Monitoring.


NEW QUESTION # 21
Select the most appropriate tool to use based on this scenario:
A colleague wants to see the Visually Complete time and the User Action time for a subset of user actions, filtered by a specific user action property and multiple different geolocations. This user specifically wants to ensure that they can see all the user actions that have the same name across multiple apps.

Answer: D

Explanation:
Multidimensional Analysis for User Actions is designed specifically for deep analysis of user actions with multiple filters and dimensions.
It allows:
* Filtering by user action properties
* Comparing across geolocations
* Aggregating user actions with the same name across applications
* Viewing metrics like Visually Complete time and User Action duration
Other tools are less suitable:
* USQL is legacy and less flexible
* Dashboards are for visualization, not deep filtering
* Data Explorer focuses on metrics, not user actions
* Notebooks are not optimized for this specific RUM analysis
Reference: Based on official Dynatrace University training materials on RUM and user action analysis.


NEW QUESTION # 22
I need to restrict access of certain log files to specific Dynatrace users, which Dynatrace capability provides this?

Answer: E

Explanation:
Log Security Context in Dynatrace allows restricting access to specific logs based on user roles and permissions.
It enables:
* Fine-grained access control over log data
* Segmentation of logs based on teams or responsibilities
* Secure handling of sensitive log information
Other options do not provide this capability:
* Log Processing rules transform logs, not control access
* SAML configuration handles authentication
* OAuth tokens manage API access
* Log Viewer is only for viewing logs
Reference: Based on official Dynatrace University training materials covering log management and access control.


NEW QUESTION # 23
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