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Dynatrace-Associate Exam Questions
- Topic 1: Infrastructure Observability: Covers monitoring and visibility into hosts, services, and infrastructure components to detect and analyze performance issues.
- Topic 2: Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
- Topic 3: Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
- 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: Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
- Topic 7: User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
- Topic 8: Business Analytics: Covers capturing and correlating business metrics with technical data to measure the impact of application performance on business outcomes.
- Topic 9: Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
- Topic 10: Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.
- Topic 11: Automation: Covers workflows, event-driven automation, and integrations that enable teams to automate remediation and operational tasks.
- Topic 12: Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
Free Dynatrace Dynatrace-Associate Exam Actual Questions
Note: Premium Questions for Dynatrace-Associate were last updated On May. 21, 2026 (see below)
Select the topology levels that support the viewing of Problems. (Select all that apply)
Dynatrace Problems can be viewed across key monitored entities:
Processes
Hosts
Applications
Services
These are core topology layers where Davis AI correlates issues.
Other options:
Synthetics and Data Center are not primary topology levels for problem views
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Select the log ingestion options available. (Select all that apply)
Dynatrace supports multiple methods for log ingestion:
OneAgent automatically collects logs from monitored hosts and containers
Dynatrace API allows pushing logs directly into the platform
Dynatrace Extensions can be used to ingest logs from specific technologies
Dynatrace Operator is used for Kubernetes deployment, not direct log ingestion.
Dynatrace Hub is a repository for extensions, not an ingestion mechanism itself.
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On the Data Explorer, how many metrics can you add to one chart?
In Dynatrace Data Explorer, you can add up to 10 metrics to a single chart.
This allows users to:
Compare multiple metrics side by side
Correlate performance indicators
Build comprehensive visualizations for analysis
Lower numbers such as 3, 5, or 7 do not reflect the platform's supported maximum.
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In Distributed Traces, how is the trace-id propagated in an environment?
In distributed tracing, Dynatrace follows standard tracing protocols (such as W3C Trace Context), where the trace ID is propagated via HTTP headers between services.
This enables:
End-to-end trace continuity across services
Correlation of requests across distributed systems
Seamless tracking through microservices architectures
The trace context is typically included in headers like traceparent, ensuring each downstream service continues the same trace.
Other options are incorrect because:
XML and JSON payloads are not used for trace propagation
TLS handshake is unrelated to trace context propagation
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What are the critical features available with the Dynatrace Application Security feature?
Dynatrace Application Security provides:
Runtime Vulnerability Analytics -- detection of vulnerabilities in running applications
Runtime Application Protection (RASP) -- protection against exploits in real time
It does NOT provide:
Automatic remediation
Traditional static/on-demand code scanning
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