Dynatrace-Associate関連資格知識 & Dynatrace-Associate合格内容

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Dynatrace Dynatrace-Associate Exam Syllabus Topics:

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

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Dynatrace-Associate合格内容、Dynatrace-Associate認証試験

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Dynatrace Associate Certification Exam 認定 Dynatrace-Associate 試験問題 (Q74-Q79):

質問 # 74
What features should be used to get FULL visibility into a database's performance, including code-level analysis, and metric data? (Select all that apply)

正解：A、D、E

解説：
To achieve full visibility into database performance , Dynatrace requires a combination of deep monitoring, code-level tracing, and database-specific metrics:
* OneAgent in Full-Stack mode on the database host enables deep process-level monitoring and visibility into database internals where supported
* OneAgent on application servers provides code-level tracing , capturing database calls within distributed traces and linking them to application performance
* Database Extensions provide detailed technology-specific metrics , such as query performance, buffer usage, and connections Real User Monitoring focuses on end-user experience and does not directly provide database-level visibility.
Infrastructure-only mode limits visibility to host-level metrics and does not provide deep code-level or database insights.
Reference: Based on official Dynatrace University training materials covering database monitoring and OneAgent deployment strategies.


質問 # 75
For supported technologies, do Kubernetes workloads and pods get monitored differently than traditionally monitored OneAgent processes?

正解：B

解説：
Yes, Kubernetes workloads and pods are monitored differently compared to traditional OneAgent-monitored processes. When Dynatrace is deployed into Kubernetes using the Dynatrace Operator, the OneAgent automatically injects itself into each pod at runtime. This means each container is monitored independently and is shown in Dynatrace as a container entity , not as a traditional process.
This container-based visibility is designed to suit the dynamic and short-lived nature of Kubernetes environments. Traditional OneAgent monitoring associates metrics and topology with processes and hosts, but in Kubernetes, the emphasis shifts toward containers, pods, and workloads. This shift allows Dynatrace to provide accurate and timely data on what's really happening inside containerized apps, aligned with Kubernetes-native objects and metrics.
Other answer options either misstate the behavior (e.g., no service data or requiring OpenTelemetry) or oversimplify the relationship between traditional and Kubernetes monitoring (e.g., "same general information"), making Option E the only correct and fully accurate one.
Reference: Based on official Dynatrace University training content and architecture documentation.


質問 # 76
Which Dynatrace components are required for full VMware vSphere monitoring? (Select all that apply)

正解：A、B

解説：
For full VMware vSphere monitoring , Dynatrace requires:
* OneAgent to monitor hosts and workloads running within the virtual machines
* ActiveGate to connect to the vSphere API and collect metrics from the vCenter server ActiveGate enables integration with vSphere and retrieves infrastructure-level data such as clusters, hosts, and virtual machines.
Other options are not required:
* OneAgent SDK is for custom instrumentation
* Dynatrace Operator is for Kubernetes environments
* Synthetic Monitor is unrelated to infrastructure monitoring
This combination ensures full visibility across both infrastructure and application layers in VMware environments.
Reference: Based on official Dynatrace University training materials covering VMware monitoring and ActiveGate integrations.


質問 # 77
Which steps outline the Business Event Dataflow? (Select all that apply)

正解：A、B、D

解説：
The Business Event Dataflow in Dynatrace follows a structured pipeline that focuses on collecting, handling, and analyzing business events:
* Capture - Business events are ingested into Dynatrace from various sources such as applications, APIs, or external systems
* Process - The captured data is processed, enriched, and stored within the Dynatrace platform (Grail)
* Analyze - Users query and analyze the processed data using tools like dashboards and DQL Export is not considered a core step in the business event dataflow. While exporting data is possible, it is not part of the primary ingestion-to-analysis pipeline defined in Dynatrace.
Reference: Based on official Dynatrace University training materials covering Business Analytics and Grail data flow.


質問 # 78
Name the benefits of employing distributed tracing?

正解：A、B、C、D、F

解説：
Distributed tracing provides deep visibility into application behavior, which leads to multiple business and operational benefits:
* Faster time to market through quicker issue resolution
* Improved internal collaboration by providing shared visibility across teams
* Improved SLA compliance through better monitoring and reliability
* Reduced MTTD and MTTR by enabling faster detection and troubleshooting
* Protected business outcomes by minimizing downtime and performance issues Session replay is a Digital Experience feature and not a direct benefit of distributed tracing.
Reference: Based on official Dynatrace University training materials on distributed tracing benefits.


質問 # 79
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