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>> Real Dynatrace Dynatrace-Associate Questions <<
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NEW QUESTION # 53
Name the benefits of employing distributed tracing?
Answer: A,C,D,E,F
Explanation:
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.
NEW QUESTION # 54
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: C
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 # 55
What Dynatrace tool is utilized to initially perform Application Security monitoring?
Answer: B
Explanation:
OneAgent is the primary component used to initially enable Application Security (AppSec) monitoring in Dynatrace.
It automatically:
Instruments application code
Detects vulnerabilities at runtime
Captures security-related data such as code-level weaknesses and attack vectors This built-in capability allows Dynatrace to provide continuous application security without requiring additional manual instrumentation.
AppSec Apps are used to analyze and visualize detected vulnerabilities but rely on data collected by OneAgent.
ActiveGate handles communication and routing.
OpenTelemetry is used for telemetry ingestion, not native AppSec monitoring.
Reference: Based on official Dynatrace University training materials covering Application Security and OneAgent capabilities.
NEW QUESTION # 56
Which metrics are presented within the Databases app? (Select all that apply)
Answer: B,E
Explanation:
The Databases app in Dynatrace provides infrastructure and performance-level metrics for databases.
Key metrics include:
* Memory Consumption , indicating how much memory the database is using
* Active Sessions , showing current connections and workload
These metrics help in understanding database health and performance.
Other options are not part of this app:
* Code-level insights are provided via services and distributed tracing
* User Calls relate to application/service monitoring
* Database vulnerabilities are part of Application Security, not database performance metrics Reference: Based on official Dynatrace University training materials covering database monitoring.
NEW QUESTION # 57
Which steps would I need to perform to automatically detect anomalies, such as cluster CPU-request saturation events on a node, in my Kubernetes environment?
Answer: A,C,D
Explanation:
To enable automatic anomaly detection in Kubernetes:
* Connect Dynatrace to the Kubernetes API to gather cluster data
* Deploy OneAgent (via container/Docker/Operator) to monitor nodes and workloads
* Enable Kubernetes anomaly detection settings in Dynatrace
This allows Dynatrace to automatically detect issues like CPU saturation.
RUM is unrelated to infrastructure anomaly detection.
Reference: Based on official Dynatrace University training materials on Kubernetes monitoring and anomaly detection.
NEW QUESTION # 58
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