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This Dynatrace-Associate certification assists you to put your career on the right track and helps you to achieve your career goals in a short time period. There are several personal and professional benefits that you can gain after passing the Dynatrace Associate Certification Exam (Dynatrace-Associate) certification exam. The prominent Dynatrace-Associate certification benefits include validation of skills and knowledge, more career opportunities, instant rise in salary, quick promotion, etc.

Dynatrace Dynatrace-Associate Exam Overview:

Certification Vendor:Dynatrace
Exam Name:Dynatrace Associate Certification Exam
Exam Number:Dynatrace-Associate
Exam Duration:60–105
Real Exam Qty:50–70
Passing Score:80%
Exam Format:Multiple Choice, Multiple Response, Scenario-based questions
Certificate Validity Period:2 years
Available Languages:English
Related Certifications:Dynatrace Professional Certification
Exam Price:USD 200
Recommended Training:Dynatrace University Learning Paths
Exam Registration:Dynatrace Training & Certification
Dynatrace University
Sample Questions:Dynatrace Dynatrace-Associate Sample Questions
Exam Way:Online proctored exam
Pre Condition:No formal prerequisites; recommended ~6 months hands-on experience with Dynatrace platform
Official Syllabus URL:https://www.dynatrace.com/support/training-and-certification/

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

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

NEW QUESTION # 67
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: A

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 # 68
What is the default retention period for Logs?

Answer: C

Explanation:
Dynatrace stores logs with a default retention period of 35 days .
This provides:
* Sufficient time for analysis
* Balance between storage and cost
Reference: Based on official Dynatrace University training materials on log management.


NEW QUESTION # 69
Which steps outline the Business Event Dataflow? (Select all that apply)

Answer: A,C,D

Explanation:
The Business Event Dataflow in Dynatrace follows a structured pipeline that focuses on collecting, handling, and analyzing business events:
* Capture - Business events are ingested into Dynatrace from various sources such as applications, APIs, or external systems
* Process - The captured data is processed, enriched, and stored within the Dynatrace platform (Grail)
* Analyze - Users query and analyze the processed data using tools like dashboards and DQL Export is not considered a core step in the business event dataflow. While exporting data is possible, it is not part of the primary ingestion-to-analysis pipeline defined in Dynatrace.
Reference: Based on official Dynatrace University training materials covering Business Analytics and Grail data flow.


NEW QUESTION # 70
Which view provides detailed W3C timings of pages and resources?

Answer: B

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 # 71
Credential vault stores sensitive information for which Dynatrace capabilities?

Answer: A,B,D

Explanation:
The Credential Vault in Dynatrace is used to securely store sensitive data such as usernames, passwords, and tokens for capabilities that require authentication.
It is used by:
* Synthetic Browser monitors for login simulations and scripted interactions
* Synthetic HTTP monitors for authenticated API testing
* Dynatrace Extensions v2 for connecting to external systems that require credentials Other options are not applicable:
* Dynatrace API uses tokens but not stored via Credential Vault in this context
* Dynatrace Apps do not rely on Credential Vault for authentication storage This ensures secure handling of credentials without exposing them in plain text.
Reference: Based on official Dynatrace University training materials covering Credential Vault usage.


NEW QUESTION # 72
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