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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
Topic 2
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
Topic 3
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 4
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
Topic 5
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 6
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 7
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 8
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
Topic 9
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
Topic 10
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.

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Dynatrace Associate Certification Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
How many threshold values can you set in Data Explorer?

Answer: C

Explanation:
In Dynatrace Data Explorer , you can configure up to five threshold values for a metric. These thresholds allow users to define multiple levels of severity or ranges for visualization and alerting purposes.
This enables:
* Better visualization of metric boundaries
* Clear differentiation between normal, warning, and critical states
* Enhanced dashboard customization
Options with fewer or more thresholds do not align with the platform's supported configuration.
Reference: Based on official Dynatrace University training materials covering Data Explorer and metric analysis.


NEW QUESTION # 32
Which of the following is the default threshold type used for anomaly detection on Hosts (CPU saturation, memory saturation, disk utilization...)?

Answer: C

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 # 33
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: C,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 # 34
I want to use Dynatrace's global network of Synthetic Monitoring locations to monitor my application, which capability provides this?

Answer: A


NEW QUESTION # 35
I want to use Dynatrace's global network of Synthetic Monitoring locations to monitor my application, which capability provides this?

Answer: A

Explanation:
Public Synthetics use Dynatrace's global network of locations to test applications from various geographic regions.
* Ideal for global availability testing
* No infrastructure setup required
Private Synthetics are for internal environments.
Reference: Based on official Dynatrace University training materials on Synthetic Monitoring.


NEW QUESTION # 36
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