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>> Dynatrace-Associate Latest Learning Materials <<
Dynatrace-Associate answers real questions can help candidates have correct directions and prevent useless effort. If you still lack of confidence in preparing your exam, choosing a good Dynatrace-Associate answers real questions will be a wise decision for you, it is also an economical method which is saving time, money and energy. Valid Dynatrace-Associate Answers Real Questions will help you clear exam at the first time, it will be fast for you to obtain certifications and achieve your dream.
NEW QUESTION # 37
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 # 38
Which metrics are presented within the Databases app? (Select all that apply)
Answer: B,D
Explanation:
The Databases app in Dynatrace provides infrastructure and performance-level metrics for databases.
Key metrics include:
* Memory Consumption , indicating how much memory the database is using
* Active Sessions , showing current connections and workload
These metrics help in understanding database health and performance.
Other options are not part of this app:
* Code-level insights are provided via services and distributed tracing
* User Calls relate to application/service monitoring
* Database vulnerabilities are part of Application Security, not database performance metrics Reference: Based on official Dynatrace University training materials covering database monitoring.
NEW QUESTION # 39
I need to take my live environment offline while I perform an upgrade. However, the upgrade will overlap with scheduled Synthetic tests. What can I configure in Dynatrace to avoid false alerting?
Answer: B
Explanation:
A Maintenance Window in Dynatrace allows you to suppress monitoring alerts during planned downtime or maintenance activities. When configured, it prevents problem detection and alerting for the specified entities and timeframe.
This ensures that:
* Scheduled Synthetic failures during maintenance are not treated as real incidents
* Alert noise is reduced
* Teams can perform upgrades without triggering unnecessary alerts
Other options are not suitable:
* Credential vault manages secrets
* Synthetic on-demand execution manually triggers tests
* Deleting monitors is not a practical or recommended solution
Reference: Based on official Dynatrace University training materials on maintenance windows and alert suppression.
NEW QUESTION # 40
Which steps would I need to perform to automatically detect anomalies, such as cluster CPU-request saturation events on a node, in my Kubernetes environment?
Answer: A,B,C
Explanation:
To enable automatic anomaly detection in Kubernetes:
* Connect Dynatrace to the Kubernetes API to gather cluster data
* Deploy OneAgent (via container/Docker/Operator) to monitor nodes and workloads
* Enable Kubernetes anomaly detection settings in Dynatrace
This allows Dynatrace to automatically detect issues like CPU saturation.
RUM is unrelated to infrastructure anomaly detection.
Reference: Based on official Dynatrace University training materials on Kubernetes monitoring and anomaly detection.
NEW QUESTION # 41
A developer wants to know how long it took for their application to load a specific resource request as a part of a button being clicked. What tool would be appropriate to find this information?
Answer: A
Explanation:
Waterfall analysis provides a detailed breakdown of all resource requests triggered by a user action, including timing for each request.
It allows developers to:
* See exactly how long each resource takes to load
* Analyze dependencies between requests
* Identify bottlenecks in frontend performance
This is especially useful for analyzing resource loading triggered by actions such as button clicks.
Other options:
* Web application view provides overview data
* User Session Query Language is for querying session data
* User action analysis provides aggregated insights, not detailed request timing Reference: Based on official Dynatrace University training materials covering Real User Monitoring and waterfall analysis.
NEW QUESTION # 42
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