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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

SectionObjectives
Topic 1: Log Analytics & Troubleshooting- Problem diagnostics and root cause analysis
- Log search and filtering
Topic 2: Dashboards, Reporting & Automation- Automation and API integration
- Dashboards and metrics visualization
Topic 3: Dynatrace Platform Fundamentals- Architecture and core components
- OneAgent and data collection concepts
Topic 4: Application Performance Monitoring (APM)- Distributed tracing
- Service flow analysis
Topic 5: Synthetic Monitoring & User Experience- Synthetic tests and availability monitoring
- Real User Monitoring (RUM)
Topic 6: Infrastructure Observability- Host and process monitoring
- Cloud and container monitoring

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Dynatrace Associate Certification Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which of the following is the default threshold type used for anomaly detection on Hosts (CPU saturation, memory saturation, disk utilization...)?

Answer: D

Explanation:
Dynatrace uses Automated Multi-Dimensional Baselining as the default anomaly detection method for host metrics such as CPU, memory, and disk utilization.
This approach:
* Automatically learns normal behavior patterns over time
* Adjusts thresholds dynamically based on historical data
* Considers multiple dimensions such as time of day and workload patterns This allows Dynatrace to detect anomalies more accurately compared to fixed thresholds.
Static thresholds are manually defined and not the default.
Other options are unrelated to anomaly detection mechanisms.
Reference: Based on official Dynatrace University training materials covering anomaly detection and Davis AI.


NEW QUESTION # 18
Which capability provides a single view of multiple hyperscalers' resources?

Answer: D

Explanation:
The Clouds App in Dynatrace provides a unified, single-pane view across multiple cloud providers (hyperscalers), such as AWS, Azure, and Google Cloud. It aggregates cloud services, resources, and their relationships into one centralized interface.
This capability allows users to:
* Monitor multi-cloud environments in one place
* Analyze dependencies across different cloud providers
* Gain visibility into cloud services, costs, and performance
Other options do not serve this purpose:
* Extensions v2 extend monitoring capabilities
* RUM focuses on end-user experience
* Kubernetes App focuses specifically on Kubernetes environments
Reference: Based on official Dynatrace University training materials covering cloud platform monitoring and multi-cloud visibility.


NEW QUESTION # 19
What types of notifications can you set up for Security Problems? (Select all that apply)

Answer: A,B,C,D,E

Explanation:
Dynatrace allows configuring problem notifications , including security problems, through multiple integration channels:
* Email notifications for direct alerts
* Jira integration for creating and tracking issues
* ServiceNow integration for IT service management workflows
* PagerDuty integration for incident response and alerting
* Custom integrations using webhooks or APIs for flexible notification handling These integrations ensure that security problems are communicated effectively across teams and tools, enabling rapid response and resolution.
Reference: Based on official Dynatrace University training materials covering alerting, problem notifications, and integrations.


NEW QUESTION # 20
How can Business Event data be ingested into Dynatrace?

Answer: B,E

Explanation:
Business Event data can be ingested into Dynatrace using:
* Dynatrace API - allows sending structured business events directly into the platform
* OpenTelemetry - supports ingestion of custom event data through open standards Other options are incorrect:
* OneAgent focuses on observability data, not business events
* Logs are separate data types, not primary business event ingestion
* RUM captures user interactions, not structured business events
These ingestion methods enable flexible integration of business data into Dynatrace for analysis.
Reference: Based on official Dynatrace University training materials on Business Events and Grail ingestion.


NEW QUESTION # 21
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: B,C,D

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 # 22
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