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| Section | Weight | Objectives |
|---|---|---|
| Installation & Configuration | 20% | - Infrastructure monitoring configuration - Tags and management zones - Application instrumentation - ActiveGate setup - OneAgent deployment |
| Capabilities & Monitoring | 24% | - How Dynatrace operates in your environment - Smartscape real-time topology - PurePath distributed tracing - Full-stack performance monitoring of applications - Data gathering and analysis |
| Problems & Resolution | 14% | - Alerts and notifications - Event correlation - Davis AI anomaly detection - Problem lifecycle and root cause analysis |
| Digital Experience Management (DEM) | 16% | - Mobile monitoring (iOS & Android) - User session analysis - Synthetic monitoring - Real User Monitoring (RUM) |
| Reporting & Analysis | 18% | - Log management and analytics - Business analytics and KPIs - Dashboards and visualization - DQL (Dynatrace Query Language) - Notebooks and investigation |
| Components & Architecture | 8% | - Grail data lakehouse - Dynatrace structure and components - OneAgent, ActiveGate, Dynatrace Platform - Integration with 3rd party systems - System communication and data reporting |
>> Dynatrace-Associate認定資格試験問題集 <<
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質問 # 34
Where can I find the latest news on Dynatrace releases, blogs and innovation?
正解：A、B
解説：
The official and reliable sources for Dynatrace news, releases, and innovation updates are:
* Engineering news section , which shares technical updates, innovations, and product developments
* Dynatrace blog , which provides insights into new features, use cases, and platform updates While GitHub contains code repositories and tools, it is not considered an official source for release news and innovation updates. Other options like Wikipedia and YouTube are not official or authoritative sources for up-to-date product information.
Reference: Based on official Dynatrace University training materials regarding learning resources and official information channels.
質問 # 35
What are the different User Types? (Select all that apply)
正解：B、C
解説：
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.
質問 # 36
Which Dynatrace components are required for full VMware vSphere monitoring? (Select all that apply)
正解：B、C
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 # 37
I need fine-grained control of the Business Events data ingested. Adding which attribute allows me to achieve this?
正解：A
解説：
The dt.security.context attribute enables fine-grained access control over ingested data, including Business Events.
It allows:
* Segmentation of data
* Restricting access to specific users or groups
* Applying security boundaries to sensitive datasets
Other attributes are related to tracing:
* dt.traceid and dt.spanid are for distributed tracing
* dt.entity.process_group_instance links data to entities
Only dt.security.context provides control over data access and segmentation.
Reference: Based on official Dynatrace University training materials covering Grail and data security.
質問 # 38
I want to reduce the mean-time-to-identify critical security vulnerabilities in my environment by sending a notification to the correct team's Slack channel when detected. How can I achieve this?
正解：A
解説：
Dynatrace enables automated response through Workflows :
* Event triggers detect security issues
* Ownership ensures the correct team is identified
* Slack integration sends notifications automatically
This automation significantly reduces detection and response time.
Manual checking options do not meet the requirement for automation.
Reference: Based on official Dynatrace University training materials on workflows and automation.
質問 # 39
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