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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
Topic 2
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
Topic 3
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
Topic 4
  • Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
Topic 5
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Topic 6
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
Topic 7
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
Topic 8
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.

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Dynatrace Associate Certification Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
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 # 72
Credential vault stores sensitive information for which Dynatrace capabilities?

Answer: A,C,D

Explanation:
The Credential Vault in Dynatrace is used to securely store sensitive data such as usernames, passwords, and tokens for capabilities that require authentication.
It is used by:
* Synthetic Browser monitors for login simulations and scripted interactions
* Synthetic HTTP monitors for authenticated API testing
* Dynatrace Extensions v2 for connecting to external systems that require credentials Other options are not applicable:
* Dynatrace API uses tokens but not stored via Credential Vault in this context
* Dynatrace Apps do not rely on Credential Vault for authentication storage This ensures secure handling of credentials without exposing them in plain text.
Reference: Based on official Dynatrace University training materials covering Credential Vault usage.


NEW QUESTION # 73
What is the default retention period for Logs?

Answer: D

Explanation:
Dynatrace stores logs with a default retention period of 35 days .
This provides:
* Sufficient time for analysis
* Balance between storage and cost
Reference: Based on official Dynatrace University training materials on log management.


NEW QUESTION # 74
Which metrics are presented within the Databases app? (Select all that apply)

Answer: A,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 # 75
Which Dynatrace capability can be used to query ingested log data?

Answer: B

Explanation:
DQL (Dynatrace Query Language) is the primary language used to query ingested data in Dynatrace, including logs.
It enables:
* Advanced filtering and aggregation
* Correlation across logs, metrics, and traces
* Flexible data analysis within Grail
Other options:
* USQL is legacy
* SQL is not used
* JavaScript is not a query language in Dynatrace
Reference: Based on official Dynatrace University training materials on Grail and DQL.


NEW QUESTION # 76
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