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| Section | Objectives |
|---|---|
| Topic 1: Dynatrace Platform Fundamentals | - Architecture and core components - OneAgent and data collection concepts |
| Topic 2: Dashboards, Reporting & Automation | - Automation and API integration - Dashboards and metrics visualization |
| Topic 3: Log Analytics & Troubleshooting | - Log search and filtering - Problem diagnostics and root cause analysis |
| Topic 4: Application Performance Monitoring (APM) | - Distributed tracing - Service flow analysis |
| Topic 5: Infrastructure Observability | - Cloud and container monitoring - Host and process monitoring |
| Topic 6: Synthetic Monitoring & User Experience | - Synthetic tests and availability monitoring - Real User Monitoring (RUM) |
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NEW QUESTION # 69
Name the 3 pillars of observability?
Answer: C,D,E
Explanation:
The three pillars of observability are:
* Metrics - numerical performance data
* Logs - event-based records
* Traces - end-to-end request tracking
These pillars provide the foundation for understanding system behavior.
Other options:
* Automation is not a pillar
* RUM is a capability built on top of these pillars
Reference: Based on standard observability principles covered in Dynatrace University.
NEW QUESTION # 70
Select the most appropriate tool to use based on this scenario:
A colleague wants to see the Visually Complete time and the User Action time for a subset of user actions, filtered by a specific user action property and multiple different geolocations. This user specifically wants to ensure that they can see all the user actions that have the same name across multiple apps.
Answer: E
Explanation:
Multidimensional Analysis for User Actions is designed specifically for deep analysis of user actions with multiple filters and dimensions.
It allows:
* Filtering by user action properties
* Comparing across geolocations
* Aggregating user actions with the same name across applications
* Viewing metrics like Visually Complete time and User Action duration
Other tools are less suitable:
* USQL is legacy and less flexible
* Dashboards are for visualization, not deep filtering
* Data Explorer focuses on metrics, not user actions
* Notebooks are not optimized for this specific RUM analysis
Reference: Based on official Dynatrace University training materials on RUM and user action analysis.
NEW QUESTION # 71
What is the default retention period for Logs?
Answer: B
Explanation:
Dynatrace stores logs with a default retention period of 35 days .
This provides:
* Sufficient time for analysis
* Balance between storage and cost
Reference: Based on official Dynatrace University training materials on log management.
NEW QUESTION # 72
How can Business Event data be ingested into Dynatrace?
Answer: A,B
Explanation:
Business Event data can be ingested into Dynatrace using:
* Dynatrace API - allows sending structured business events directly into the platform
* OpenTelemetry - supports ingestion of custom event data through open standards Other options are incorrect:
* OneAgent focuses on observability data, not business events
* Logs are separate data types, not primary business event ingestion
* RUM captures user interactions, not structured business events
These ingestion methods enable flexible integration of business data into Dynatrace for analysis.
Reference: Based on official Dynatrace University training materials on Business Events and Grail ingestion.
NEW QUESTION # 73
What steps would I need to perform to analyze logs?
Answer: B,C
Explanation:
To analyze logs in Dynatrace, two essential steps are required:
* Ingest logs into Dynatrace - logs must first be collected and stored in the platform (Grail)
* Use DQL (Dynatrace Query Language) - to query, filter, and analyze the ingested log data These steps allow users to extract insights, detect issues, and correlate logs with other observability data.
Other options are not part of log analysis:
* RUM is for user experience monitoring
* Distributed Traces are for request tracking
* Operator is for Kubernetes deployment
Reference: Based on official Dynatrace University training materials on log monitoring and DQL.
NEW QUESTION # 74
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