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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:60 - 75
Exam Price:$150 - $200 USD
Exam Duration:90 - 105
Available Languages:English
Exam Format:Practical Tasks, Multiple Response, Multiple Choice
Passing Score:70% - 80%
Certificate Validity Period:2 years
Recommended Training:Dynatrace Associate Learning Path
Exam Registration:Dynatrace University Registration
Sample Questions:Dynatrace Dynatrace-Associate Sample Questions
Exam Way:Online proctored exam (ProctorU); remote delivery
Pre Condition:6+ months hands-on experience with Dynatrace platform recommended; basic knowledge of application architecture, cloud, and monitoring concepts
Official Syllabus URL:https://university.dynatrace.com/

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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
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
Topic 3
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 4
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 5
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
Topic 6
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 7
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.

Dynatrace Associate Certification Exam Sample Questions (Q25-Q30):

NEW QUESTION # 25
I need to perform data transformation on logs during the ingestion phase, which capability provides this functionality?

Answer: E

Explanation:
Log Processing rules in Dynatrace allow transformation of log data during the ingestion phase.
They enable:
* Parsing and structuring log data
* Masking sensitive information
* Enriching logs with additional attributes
* Filtering and modifying log content before storage
Other options are unrelated:
* Anomaly detection rules are for alerting
* Log events are outputs, not transformation tools
* Custom process monitoring rules and service detection rules are unrelated to logs Reference: Based on official Dynatrace University training materials on log monitoring and processing.


NEW QUESTION # 26
Which of these data sources can I utilize when a Kubernetes cluster is being monitored?

Answer: A,D,E

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 # 27
Which steps outline the Business Event Dataflow? (Select all that apply)

Answer: B,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 # 28
Under what conditions can you mute or unmute a vulnerability?

Answer: A,D,E

Explanation:
Dynatrace allows muting/unmuting vulnerabilities with granular scope control , including:
* Specific Process Group
* Specific Management Zone
* Specific CVE (vulnerability identifier)
These options allow precise control over how vulnerabilities are handled and displayed.
Options based on state (open/resolved) are not the criteria for muting configuration.
Reference: Based on official Dynatrace University training materials on Application Security.


NEW QUESTION # 29
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: C

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 # 30
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