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Dynatrace Dynatrace-Associate Exam Overview:

Certification Vendor:Dynatrace
Exam Name:Dynatrace Associate Certification Exam
Exam Number:Dynatrace-Associate
Real Exam Qty:70
Exam Format:Multiple response, Multiple choice
Passing Score:72%
Exam Duration:105 minutes
Available Languages:English, Multiple languages
Related Certifications:Dynatrace Associate
Exam Price:$200 USD
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
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 3
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 4
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 5
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
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
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.

Dynatrace Associate Certification Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which of the following is the default threshold type used for anomaly detection on Hosts (CPU saturation, memory saturation, disk utilization...)?

Answer: A

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 # 54
How can Business Event data be ingested into Dynatrace?

Answer: B,C

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 # 55
How best is the "Visually complete" metric defined?

Answer: B

Explanation:
Visually Complete measures the time when all visible elements on a page are fully rendered.
It reflects:
* What the user actually sees
* Completion of visual loading
Option B refers to Largest Contentful Paint (LCP) , not Visually Complete.
Reference: Based on official Dynatrace University training materials on RUM metrics.


NEW QUESTION # 56
A team approaches you about fetching code-level information in Dynatrace about an AWS Lambda/Azure function. Assuming it is instrumented with OneAgent, what's the best place to go to get information about the function?

Answer: B

Explanation:
In Dynatrace, serverless functions (AWS Lambda / Azure Functions) are represented as services when instrumented.
The Services page provides:
* Code-level insights
* Distributed traces
* Performance metrics
* Failure analysis
Other options:
* Hosts page is not applicable to serverless
* Logs page shows logs only
* Cloud provider pages show infrastructure-level data, not deep code insights Reference: Based on official Dynatrace University training materials on serverless monitoring.


NEW QUESTION # 57
Which of the following best describes the functionality of the Security Investigator app?

Answer: D

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 # 58
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