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| Certification Vendor: | Dynatrace |
|---|---|
| Exam Name: | Dynatrace Associate Certification Exam |
| Exam Number: | Dynatrace-Associate |
| Real Exam Qty: | 60 - 75 |
| Certificate Validity Period: | 2 years |
| Passing Score: | 70% - 80% |
| Exam Price: | $150 - $200 USD |
| Exam Duration: | 90 - 105 |
| Exam Format: | Practical Tasks, Multiple Response, Multiple Choice |
| Available Languages: | English |
| 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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NEW QUESTION # 38
Which Dynatrace components are required for full VMware vSphere monitoring? (Select all that apply)
Answer: D,E
Explanation:
For full VMware vSphere monitoring , Dynatrace requires:
* OneAgent to monitor hosts and workloads running within the virtual machines
* ActiveGate to connect to the vSphere API and collect metrics from the vCenter server ActiveGate enables integration with vSphere and retrieves infrastructure-level data such as clusters, hosts, and virtual machines.
Other options are not required:
* OneAgent SDK is for custom instrumentation
* Dynatrace Operator is for Kubernetes environments
* Synthetic Monitor is unrelated to infrastructure monitoring
This combination ensures full visibility across both infrastructure and application layers in VMware environments.
Reference: Based on official Dynatrace University training materials covering VMware monitoring and ActiveGate integrations.
NEW QUESTION # 39
Which steps outline the Business Event Dataflow? (Select all that apply)
Answer: A,B,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 # 40
Your team has to investigate the performance of a database. Assuming all monitoring sources for a database are available, what tools can you use to find database performance information?
Answer: D
Explanation:
The 'Databases' app in Dynatrace offers a comprehensive, vendor-agnostic view of all monitored databases. It consolidates performance metrics such as CPU usage, memory consumption, active sessions, response times, and failed connections. It is designed to give users a centralized location for investigating the health and performance of databases, making it the primary tool for such tasks. The app enables teams to correlate issues with underlying infrastructure, understand resource consumption, and identify performance bottlenecks directly tied to the database.
Provided dashboards from a database extension may contain useful visualizations but lack the breadth of metrics and insights that the dedicated Databases app provides. Synthetic tests are primarily used for simulating user behavior to test availability and performance from the user's perspective-not for internal database monitoring. Looking at service data can help in understanding application-level issues but does not deliver detailed or direct metrics from the database layer.
Reference: Based on official Dynatrace University training materials and product documentation.
NEW QUESTION # 41
I need to count the number of occurrences of a log entry, which Dynatrace capability provides this?
Answer: B
Explanation:
Log Metrics allow converting log occurrences into measurable metrics.
They enable:
* Counting occurrences
* Creating thresholds and alerts
* Trend analysis
Other options:
* Log Viewer = manual view
* Log Events = alerting
* Anomaly detection = metric-based
Reference: Based on official Dynatrace University training materials on log analytics.
NEW QUESTION # 42
A problem opened with the event category of "Slowdown". Assuming Dynatrace is using the default anomaly detection settings, what entity types can be the root cause of this problem? (Select all that apply)
Answer: A,D,E
Explanation:
In Dynatrace, "Slowdown" problems are typically triggered by performance degradation detected through anomaly detection on monitored entities.
With default settings, the root cause of slowdown problems is usually identified at:
Services, where response time degradation is detected
Processes, where CPU, memory, or other resource bottlenecks occur
Hosts, where infrastructure-level issues impact performance
Applications are higher-level aggregations and are not typically identified as the root cause entity.
Cloud Providers are not treated as root cause entities in anomaly detection.
Dynatrace's AI (Davis) correlates these entities to pinpoint the most likely root cause in the topology.
Reference: Based on official Dynatrace University training materials covering problem detection and Davis AI root cause analysis.
NEW QUESTION # 43
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