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| Section | Objectives |
|---|---|
| Topic 1: Infrastructure Observability | - Cloud and container monitoring - Host and process monitoring |
| Topic 2: Dynatrace Platform Fundamentals | - Architecture and core components - OneAgent and data collection concepts |
| Topic 3: Synthetic Monitoring & User Experience | - Real User Monitoring (RUM) - Synthetic tests and availability monitoring |
| Topic 4: Log Analytics & Troubleshooting | - Problem diagnostics and root cause analysis - Log search and filtering |
| Topic 5: Dashboards, Reporting & Automation | - Automation and API integration - Dashboards and metrics visualization |
| Topic 6: Application Performance Monitoring (APM) | - Distributed tracing - Service flow analysis |
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NEW QUESTION # 80
Which options exist to send OpenTelemetry data to Dynatrace?
Answer: A,B,C
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 # 81
Which of the following Synthetics simulate an HTTP request to a URL or endpoint?
Answer: C
Explanation:
HTTP monitors are designed specifically to simulate HTTP requests to a defined URL or endpoint. They validate response codes, headers, and content, and measure availability and response time from various locations.
* Ping tests only check network-level availability using ICMP and do not perform HTTP requests
* Single-URL browser monitors simulate real browser interactions, including page rendering and JavaScript execution
* Browser clickpaths simulate multi-step user journeys through an application Therefore, HTTP monitors are the correct choice for simulating direct HTTP requests.
Reference: Based on official Dynatrace University training materials on Synthetic Monitoring types.
NEW QUESTION # 82
What tool would I use on my Kubernetes or OpenShift cluster to deploy and configure Dynatrace components?
Answer: C
Explanation:
The Dynatrace Operator is the recommended tool for Kubernetes/OpenShift:
* Automates deployment of OneAgent
* Manages configuration and lifecycle
* Ensures cloud-native full-stack monitoring
Other options:
* CSI Driver handles storage integration
* OneAgent is deployed by the Operator
* Prometheus is unrelated
Reference: Based on official Dynatrace University training materials on Kubernetes deployment.
NEW QUESTION # 83
I need to count the number of occurrences of a log entry, which Dynatrace capability provides this?
Answer: E
Explanation:
Log Metrics allow converting log occurrences into measurable metrics.
They enable:
* Counting occurrences
* Creating thresholds and alerts
* Trend analysis
Other options:
* Log Viewer = manual view
* Log Events = alerting
* Anomaly detection = metric-based
Reference: Based on official Dynatrace University training materials on log analytics.
NEW QUESTION # 84
Which of the following data points can be found within a User Session?
Answer: A,B,D,E
Explanation:
A User Session in Dynatrace contains detailed information about user interactions and experience:
* User Tags - custom identifiers assigned to users
* Session and Action Properties - metadata describing session behavior
* JavaScript and Request Errors - frontend and backend errors impacting the session
* User Actions - all interactions such as clicks, page loads, and XHR calls Server-side code-level insights are not directly part of the user session view; they belong to service-level and distributed tracing analysis.
Reference: Based on official Dynatrace University training materials on Real User Monitoring and user sessions.
NEW QUESTION # 85
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