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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

SectionWeightObjectives
Dashboards, Reporting & Automation15%- Synthetic Monitoring & Automation
  • 1. Synthetic test creation & execution
  • 2. APIs, workflows & integrations
- Custom Dashboards & Visualization
  • 1. Metrics & chart types
  • 2. Creating & sharing dashboards
Infrastructure & Cloud Monitoring20%- Kubernetes & Cloud Environments
  • 1. Cloud provider integrations: AWS, Azure, GCP
  • 2. Cluster, node & workload monitoring
- Host & Process Monitoring
  • 1. Process group & container visibility
  • 2. Resource utilization: CPU, memory, disk, network
Analysis, Troubleshooting & Intelligence20%- Logs & Business Analytics
  • 1. Log querying & filtering
  • 2. Impact analysis on business outcomes
  • 3. Business metrics & KPIs
- Problem Detection & Root Cause Analysis
  • 1. Event correlation & causal analysis
  • 2. AI-driven anomaly detection
Application & Service Monitoring25%- Service & Transaction Analysis
  • 1. Failure rate & root cause
  • 2. Response time & throughput
  • 3. Service flow & dependencies
- Real User Monitoring (RUM)
  • 1. User experience analysis
  • 2. Error detection & impact
  • 3. Session & action tracking
Dynatrace Fundamentals & Architecture20%- Data Collection & Instrumentation
  • 1. Automatic vs manual instrumentation
  • 2. Entity model & relationships
  • 3. Metrics, traces, logs & events
- Platform Overview & Core Concepts
  • 1. PurePath technology & transaction tracking
  • 2. Key components: OneAgent, ActiveGate, Cluster
  • 3. Purpose & value of Dynatrace

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Dynatrace Associate Certification Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
In Distributed Traces, how is the trace-id propagated in an environment?

Answer: A

Explanation:
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
Reference: Based on official Dynatrace University training materials covering distributed tracing and W3C trace context.


NEW QUESTION # 69
How best is the "Visually complete" metric defined?

Answer: D

Explanation:
Visually Complete measures the time when all visible elements on a page are fully rendered.
It reflects:
* What the user actually sees
* Completion of visual loading
Option B refers to Largest Contentful Paint (LCP) , not Visually Complete.
Reference: Based on official Dynatrace University training materials on RUM metrics.


NEW QUESTION # 70
What are the different User Types? (Select all that apply)

Answer: B,D

Explanation:
Dynatrace categorizes user types primarily into Real Users and Synthetic Users .
* Real Users represent actual human users interacting with applications. Their behavior is captured through Real User Monitoring (RUM), which tracks real-time user interactions, performance, and experience.
* Synthetic Users are simulated users generated by Synthetic Monitoring. These are automated scripts that mimic user behavior to test availability and performance proactively.
The terms "Robots" and "Human" are not official Dynatrace user type classifications in the platform.
Dynatrace specifically uses the standardized categories of Real and Synthetic users for monitoring and analysis.
Reference: Based on official Dynatrace University training materials covering Real User Monitoring and Synthetic Monitoring concepts.


NEW QUESTION # 71
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 # 72
Which of these data sources can I utilize when a Kubernetes cluster is being monitored?

Answer: A,B,E

Explanation:
When monitoring Kubernetes, Dynatrace provides multiple relevant data sources:
* Prometheus metrics - ingested and analyzed alongside other metrics
* Infrastructure-level metrics - CPU, memory, disk usage from nodes
* Kubernetes-specific events and metrics - pods, deployments, namespaces, cluster events Other options:
* Code-level insights relate to application tracing, not Kubernetes data sources directly
* OpenKit is used for custom user session tracking, not Kubernetes monitoring Reference: Based on official Dynatrace University training materials on Kubernetes monitoring.


NEW QUESTION # 73
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