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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
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 3
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
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
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 6
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 7
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 8
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 9
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.

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Dynatrace Associate Certification Exam Sample Questions (Q80-Q85):

NEW QUESTION # 80
Select the topology levels that support the viewing of Problems. (Select all that apply)

Answer: A,C,E,F

Explanation:
Dynatrace Problems can be viewed across key monitored entities:
* Processes
* Hosts
* Applications
* Services
These are core topology layers where Davis AI correlates issues.
Other options:
* Synthetics and Data Center are not primary topology levels for problem views Reference: Based on official Dynatrace University training materials on Smartscape and problem analysis.


NEW QUESTION # 81
I need fine-grained control of the Business Events data ingested. Adding which attribute allows me to achieve this?

Answer: B

Explanation:
The dt.security.context attribute enables fine-grained access control over ingested data, including Business Events.
It allows:
* Segmentation of data
* Restricting access to specific users or groups
* Applying security boundaries to sensitive datasets
Other attributes are related to tracing:
* dt.traceid and dt.spanid are for distributed tracing
* dt.entity.process_group_instance links data to entities
Only dt.security.context provides control over data access and segmentation.
Reference: Based on official Dynatrace University training materials covering Grail and data security.


NEW QUESTION # 82
How many threshold values can you set in Data Explorer?

Answer: B

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 # 83
Which view provides detailed W3C timings of pages and resources?

Answer: A

Explanation:
The Waterfall analysis view provides detailed W3C timing breakdowns for web pages and resources. It visualizes how each resource loads, including DNS lookup, connection time, SSL negotiation, request
/response time, and rendering.
This allows users to:
* Identify slow-loading resources
* Analyze frontend performance issues
* Understand page load behavior in detail
Session Replay focuses on visual playback of user sessions.
Distributed Traces focus on backend request flows.
Extensions v2 are unrelated to frontend timing analysis.
Reference: Based on official Dynatrace University training materials covering Real User Monitoring and waterfall analysis.


NEW QUESTION # 84
Which of the following best describes the functionality of the Security Investigator app?

Answer: C

Explanation:
The Security Investigator app in Dynatrace is designed for advanced security analysis and threat investigation using Dynatrace Query Language (DQL).
It enables users to:
Run and chain multiple queries across logs, metrics, traces, and events Correlate different data types stored in Grail Perform deep investigations into potential security incidents This query-driven approach allows analysts to explore data relationships and uncover threats efficiently.
Other options describe capabilities not related to this app:
Credential vault checks are unrelated
Session investigation is part of RUM and Session Replay
Memory profiling is not a feature of Security Investigator
Reference: Based on official Dynatrace University training materials on Security Investigator and Grail.


NEW QUESTION # 85
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