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Dynatrace-Associate Exam Syllabus

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Before starting your Dynatrace-Associate exam preparation, it is recommended to review the complete Dynatrace Associate Certification Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Dynatrace-Associate questions. We also provide premium Dynatrace-Associate practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Dynatrace
Vendor
Dynatrace-Associate
Exam Code
82
Total Questions
12
Total Exam Domains

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Dynatrace-Associate EXAM QUESTIONS

Dynatrace-Associate Exam Objectives

Section 1: Infrastructure Observability
Weight:
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  • Monitors the health and performance of hosts, networks, and cloud environments in real time.
  • Covers metrics collection, alerting, and anomaly detection across physical and virtual infrastructure.
  • Includes understanding of OneAgent deployment and how infrastructure data is collected automatically.
Section 2: Foundational Platform Capabilities
Weight:
-
  • Introduces core Dynatrace concepts including Smartscape topology, Davis AI, and entity relationships.
  • Covers navigation of the Dynatrace platform, tenant configuration, and key platform terminology.
  • Establishes the baseline knowledge needed to work effectively across all other exam domains.
Section 3: Synthetics
Weight:
-
  • Focuses on proactive monitoring of applications using simulated browser and HTTP monitor tests.
  • Covers creating, configuring, and interpreting synthetic monitors to detect issues before users do.
  • Includes understanding availability, performance thresholds, and alerting tied to synthetic results.
Section 4: Log Investigation
Weight:
-
  • Covers ingestion, search, and analysis of log data within the Dynatrace platform.
  • Focuses on using Log Viewer and log queries to identify errors, patterns, and root causes.
  • Includes correlating log data with other observability signals like metrics and traces.
Section 5: Reporting and Analysis
Weight:
-
  • Covers how to interpret performance data, trends, and problem summaries within Dynatrace.
  • Focuses on using built-in analysis tools to communicate findings and support decision-making.
  • Includes understanding of SLOs (Service Level Objectives) and how they are tracked and reported.
Section 6: Security
Weight:
-
  • Introduces Dynatrace Application Security capabilities including vulnerability detection and risk assessment.
  • Covers runtime vulnerability analysis and how security findings are surfaced within the platform.
  • Includes understanding of security problem lifecycle, severity levels, and remediation guidance.
Section 7: User Experience Monitoring
Weight:
-
  • Focuses on Real User Monitoring (RUM) to track how actual users interact with web and mobile applications.
  • Covers session analysis, user actions, Apdex scoring, and performance from the end-user perspective.
  • Includes understanding of how JavaScript tags and OneAgent capture user experience data.
Section 8: Business Analytics
Weight:
-
  • Covers capturing and analyzing custom business metrics and conversion data within Dynatrace.
  • Focuses on defining business events and linking technical performance to business outcomes.
  • Includes understanding of funnel analysis and how business KPIs are tracked alongside IT metrics.
Section 9: Traces
Weight:
-
  • Focuses on distributed tracing to track requests as they flow across services and microservices.
  • Covers PurePath technology, service flow analysis, and identifying bottlenecks at the code level.
  • Includes understanding of how traces are captured, visualized, and used for root cause analysis.
Section 10: Kubernetes Infrastructure
Weight:
-
  • Covers monitoring of Kubernetes clusters, nodes, workloads, and namespaces using Dynatrace.
  • Focuses on OneAgent and Operator deployment strategies within containerized environments.
  • Includes understanding of Kubernetes-specific metrics, events, and how Dynatrace maps cluster topology.
Section 11: Automation
Weight:
-
  • Introduces Dynatrace workflow automation capabilities for triggering actions based on platform events.
  • Covers integration with external tools, self-healing use cases, and automating remediation tasks.
  • Includes understanding of how Davis AI-driven problems can initiate automated responses.
Section 12: Dashboards
Weight:
-
  • Covers building and customizing dashboards to visualize key metrics, SLOs, and entity data.
  • Focuses on using tiles, filters, and data sources to create meaningful operational views.
  • Includes sharing, managing, and interpreting dashboards to support monitoring and reporting goals.
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