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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Problems & Resolution | 14% | - Alerts and notifications - Problem lifecycle and root cause analysis - Event correlation - Davis AI anomaly detection |
| Topic 2: Components & Architecture | 8% | - Integration with 3rd party systems - OneAgent, ActiveGate, Dynatrace Platform - System communication and data reporting - Dynatrace structure and components - Grail data lakehouse |
| Topic 3: Digital Experience Management (DEM) | 16% | - Mobile monitoring (iOS & Android) - User session analysis - Synthetic monitoring - Real User Monitoring (RUM) |
| Topic 4: Installation & Configuration | 20% | - Tags and management zones - OneAgent deployment - ActiveGate setup - Infrastructure monitoring configuration - Application instrumentation |
| Topic 5: Reporting & Analysis | 18% | - Notebooks and investigation - Log management and analytics - DQL (Dynatrace Query Language) - Dashboards and visualization - Business analytics and KPIs |
| Topic 6: Capabilities & Monitoring | 24% | - Data gathering and analysis - Smartscape real-time topology - How Dynatrace operates in your environment - Full-stack performance monitoring of applications - PurePath distributed tracing |
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NEW QUESTION # 51
Which of the following properties are added to your ingested log data when trace enrichment for logs is enabled? (Select all that apply)
Answer: B,C,D
Explanation:
When trace enrichment for logs is enabled in Dynatrace, additional metadata is automatically added to logs to correlate them with distributed traces.
The key properties added include:
* dt.trace_id - uniquely identifies the distributed trace
* dt.span_id - identifies the specific span within the trace
* dt.entity.process_group_instance - links the log to the specific monitored process instance These attributes enable:
* Seamless correlation between logs and traces
* End-to-end observability across services
* Faster root cause analysis by linking logs directly to transactions
The other options are not part of trace enrichment:
* dt.security_context is related to log access control, not trace enrichment
* DT_RELEASE_VERSION is used for versioning metadata, not tracing
Reference: Based on official Dynatrace University training materials covering log monitoring and trace-log correlation.
NEW QUESTION # 52
I have different segments of Business Event data, each with their own data retention policy; how can I best configure this in Dynatrace?
Answer: E
Explanation:
Dynatrace allows configuring different data retention policies for Business Events by using custom buckets within Grail.
Custom buckets enable:
* Separation of data into logical segments
* Assignment of different retention periods per dataset
* Better control over storage and compliance requirements
Other options do not provide this capability:
* Account Management policies do not control Grail data retention
* Support tickets are not a configuration mechanism
* Log and Events viewer is for analysis, not configuration
* Business events configuration alone does not define retention segmentation Reference: Based on official Dynatrace University training materials covering Grail and data retention management.
NEW QUESTION # 53
What are the different User Types? (Select all that apply)
Answer: C,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 # 54
What type of User Actions exists?
Answer: A,C,D
Explanation:
Dynatrace defines three main types of user actions:
* Load Actions - full page loads
* XHR Actions - background requests (AJAX/fetch)
* Custom Actions - user-defined actions
Click Actions are not a separate action type; clicks are typically captured within other action types such as load or custom actions.
Reference: Based on official Dynatrace University training materials on Real User Monitoring.
NEW QUESTION # 55
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?
Answer: B
Explanation:
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.
NEW QUESTION # 56
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