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| Certification Vendor: | Dynatrace |
|---|---|
| Exam Name: | Dynatrace Associate Certification Exam |
| Exam Number: | Dynatrace-Associate |
| Exam Duration: | 60–105 |
| Related Certifications: | Dynatrace Professional Certification |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Price: | USD 200 |
| Exam Format: | Scenario-based questions, Multiple Choice, Multiple Response |
| Passing Score: | 80% |
| Real Exam Qty: | 50–70 |
| 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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NEW QUESTION # 24
Log files from my application may contain messages with errors. Whenever messages like these occur, we wish to notify support teams to investigate. Which Dynatrace feature would best address this ask?
Answer: B
Explanation:
Log Events allow Dynatrace to detect specific patterns (such as error messages) in logs and automatically trigger alerts.
They enable:
* Detection of error patterns in logs
* Creation of events/problems
* Notification of support teams
Other options:
* Log Processing rules transform logs, not alert
* Anomaly detection rules are metric-based
* Log Metrics convert logs into metrics but don't directly alert
* Log Viewer is for manual inspection
Reference: Based on official Dynatrace University training materials on log monitoring and alerting.
NEW QUESTION # 25
Which of these data sources can I utilize when a Kubernetes cluster is being monitored?
Answer: C,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 # 26
Under what conditions can you mute or unmute a vulnerability?
Answer: B,C,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 # 27
Name the benefits of employing distributed tracing?
Answer: A,B,C,D,E
Explanation:
Distributed tracing provides deep visibility into application behavior, which leads to multiple business and operational benefits:
* Faster time to market through quicker issue resolution
* Improved internal collaboration by providing shared visibility across teams
* Improved SLA compliance through better monitoring and reliability
* Reduced MTTD and MTTR by enabling faster detection and troubleshooting
* Protected business outcomes by minimizing downtime and performance issues Session replay is a Digital Experience feature and not a direct benefit of distributed tracing.
Reference: Based on official Dynatrace University training materials on distributed tracing benefits.
NEW QUESTION # 28
What features should be used to get FULL visibility into a database's performance, including code-level analysis, and metric data? (Select all that apply)
Answer: A,D,E
Explanation:
To achieve full visibility into database performance , Dynatrace requires a combination of deep monitoring, code-level tracing, and database-specific metrics:
* OneAgent in Full-Stack mode on the database host enables deep process-level monitoring and visibility into database internals where supported
* OneAgent on application servers provides code-level tracing , capturing database calls within distributed traces and linking them to application performance
* Database Extensions provide detailed technology-specific metrics , such as query performance, buffer usage, and connections Real User Monitoring focuses on end-user experience and does not directly provide database-level visibility.
Infrastructure-only mode limits visibility to host-level metrics and does not provide deep code-level or database insights.
Reference: Based on official Dynatrace University training materials covering database monitoring and OneAgent deployment strategies.
NEW QUESTION # 29
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