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| Section | Weight | Objectives |
|---|---|---|
| Problems & Resolution | 14% | - Davis AI anomaly detection - Event correlation - Alerts and notifications - Problem lifecycle and root cause analysis |
| Components & Architecture | 8% | - System communication and data reporting - OneAgent, ActiveGate, Dynatrace Platform - Integration with 3rd party systems - Grail data lakehouse - Dynatrace structure and components |
| Capabilities & Monitoring | 24% | - How Dynatrace operates in your environment - Full-stack performance monitoring of applications - PurePath distributed tracing - Smartscape real-time topology - Data gathering and analysis |
| Installation & Configuration | 20% | - Application instrumentation - ActiveGate setup - OneAgent deployment - Infrastructure monitoring configuration - Tags and management zones |
| Digital Experience Management (DEM) | 16% | - Mobile monitoring (iOS & Android) - Real User Monitoring (RUM) - User session analysis - Synthetic monitoring |
| Reporting & Analysis | 18% | - DQL (Dynatrace Query Language) - Business analytics and KPIs - Log management and analytics - Notebooks and investigation - Dashboards and visualization |
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NEW QUESTION # 31
Log files from my application may contain messages with errors. Whenever messages like these occur, we wish to notify support teams to investigate. Which Dynatrace feature would best address this ask?
Answer: C
Explanation:
Log Events allow Dynatrace to detect specific patterns (such as error messages) in logs and automatically trigger alerts.
They enable:
* Detection of error patterns in logs
* Creation of events/problems
* Notification of support teams
Other options:
* Log Processing rules transform logs, not alert
* Anomaly detection rules are metric-based
* Log Metrics convert logs into metrics but don't directly alert
* Log Viewer is for manual inspection
Reference: Based on official Dynatrace University training materials on log monitoring and alerting.
NEW QUESTION # 32
Which of the following is the default threshold type used for anomaly detection on Hosts (CPU saturation, memory saturation, disk utilization...)?
Answer: C
Explanation:
Dynatrace uses Automated Multi-Dimensional Baselining as the default anomaly detection method for host metrics such as CPU, memory, and disk utilization.
This approach:
* Automatically learns normal behavior patterns over time
* Adjusts thresholds dynamically based on historical data
* Considers multiple dimensions such as time of day and workload patterns This allows Dynatrace to detect anomalies more accurately compared to fixed thresholds.
Static thresholds are manually defined and not the default.
Other options are unrelated to anomaly detection mechanisms.
Reference: Based on official Dynatrace University training materials covering anomaly detection and Davis AI.
NEW QUESTION # 33
How can Dynatrace RUM be added for a website when you cannot install the OneAgent to the server?
Answer: C
Explanation:
Agentless RUM enables Real User Monitoring without requiring OneAgent installation on the server. It works by injecting a JavaScript snippet into the web application, which captures user interactions and performance data directly from the browser.
This approach is useful when:
* You do not have access to the server
* Installing OneAgent is not possible
* You still need frontend visibility
Other options do not apply:
* Dynatrace Operator is for Kubernetes deployments
* ActiveGate is used for routing and extending connectivity
* Discovery mode still requires OneAgent installation
Reference: Based on official Dynatrace University training materials on Real User Monitoring deployment methods.
NEW QUESTION # 34
What is the smallest aggregation time for recent metrics?
Answer: A
Explanation:
Dynatrace aggregates recent metrics at a minimum granularity of 1 minute .
This ensures:
* Efficient storage
* Consistent visualization
Smaller intervals like 10 or 30 seconds are not standard aggregation intervals.
Reference: Based on official Dynatrace University training materials on metrics.
NEW QUESTION # 35
Which Dashboard Tiles visualize the status of your entities using Red and Green Hexagons?
Answer: A,D
Explanation:
Dynatrace uses hexagon-style health tiles with green and red indicators to visualize the health status of monitored entities.
These are specifically used in:
* Service health tiles - showing health of services
* Application health tiles - showing overall application health
These tiles provide a quick visual overview of system health using color-coded hexagons.
Other options:
* Synthetic monitor health uses different visualization styles
* Web applications is not a tile type
* Problems shows problem cards, not hexagon visualization
Reference: Based on official Dynatrace University training materials covering dashboards and visualization types.
NEW QUESTION # 36
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