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| Section | Weight | Objectives |
|---|---|---|
| Installation & Configuration | 20% | - Application instrumentation - OneAgent deployment - Tags and management zones - Infrastructure monitoring configuration - ActiveGate setup |
| Problems & Resolution | 14% | - Alerts and notifications - Problem lifecycle and root cause analysis - Event correlation - Davis AI anomaly detection |
| Components & Architecture | 8% | - Integration with 3rd party systems - System communication and data reporting - Dynatrace structure and components - Grail data lakehouse - OneAgent, ActiveGate, Dynatrace Platform |
| Capabilities & Monitoring | 24% | - PurePath distributed tracing - Full-stack performance monitoring of applications - Smartscape real-time topology - How Dynatrace operates in your environment - Data gathering and analysis |
| Digital Experience Management (DEM) | 16% | - Synthetic monitoring - Real User Monitoring (RUM) - Mobile monitoring (iOS & Android) - User session analysis |
| Reporting & Analysis | 18% | - Business analytics and KPIs - Log management and analytics - DQL (Dynatrace Query Language) - Notebooks and investigation - Dashboards and visualization |
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NEW QUESTION # 33
To ensure efficient use of OneAgent monitoring, which modes are recommended for a Database server?
(Select all that apply)
Answer: B,E
Explanation:
Dynatrace recommends selecting the appropriate OneAgent mode depending on the role of the host:
* Infrastructure mode is recommended when only host-level monitoring is required with minimal overhead
* Full-Stack mode is used when deep monitoring is needed, including process-level visibility and full observability Options like Full support , Discovery , and Half stack are not valid OneAgent monitoring modes in Dynatrace.
Reference: Based on official Dynatrace University training materials on OneAgent deployment modes.
NEW QUESTION # 34
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,D,E
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 # 35
Which options exist to send OpenTelemetry data to Dynatrace?
Answer: A,C,D
Explanation:
Dynatrace provides multiple methods to ingest OpenTelemetry data, each suited for different deployment scenarios:
* Dynatrace ActiveGate API (Option B): ActiveGate serves as a central collection gateway to the Dynatrace backend, providing OTLP endpoints for OpenTelemetry data. It requires an access token for authentication and a secure connection using TLS. This method simplifies and centralizes network traffic and management.
* Dynatrace SaaS API (Option C): The SaaS ingest API offers a straightforward approach to ingest OpenTelemetry data. Applications can be configured for standard OTLP export without the need for additional installed components or services. It also requires an access token and a secure TLS connection.
* Dynatrace OneAgent (Option D): OneAgent provides a local-only endpoint for trace ingestion. This method offers automatic request enrichment and does not require explicit authentication. However, it only accepts traces, not metrics or logs, and is limited to localhost connections.
Incorrect Options:
* Dynatrace RUM (Option A): Real User Monitoring (RUM) is designed to capture and analyze user interactions within web applications. It does not serve as a method to ingest OpenTelemetry data.
* Dynatrace Operator (Option E): The Dynatrace Operator is a Kubernetes operator that automates the deployment and management of OneAgent in Kubernetes environments. While it facilitates monitoring within Kubernetes, it is not a direct method for ingesting OpenTelemetry data.
Reference: Based on official Dynatrace University training materials and product documentation.
NEW QUESTION # 36
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 # 37
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 # 38
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