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| Section | Weight | Objectives |
|---|---|---|
| Installation & Configuration | 20% | - Tags and management zones - ActiveGate setup - OneAgent deployment - Application instrumentation - Infrastructure monitoring configuration |
| Problems & Resolution | 14% | - Event correlation - Problem lifecycle and root cause analysis - Davis AI anomaly detection - Alerts and notifications |
| Reporting & Analysis | 18% | - DQL (Dynatrace Query Language) - Notebooks and investigation - Log management and analytics - Business analytics and KPIs - Dashboards and visualization |
| Capabilities & Monitoring | 24% | - Data gathering and analysis - Smartscape real-time topology - Full-stack performance monitoring of applications - How Dynatrace operates in your environment - PurePath distributed tracing |
| Components & Architecture | 8% | - Dynatrace structure and components - OneAgent, ActiveGate, Dynatrace Platform - Integration with 3rd party systems - System communication and data reporting - Grail data lakehouse |
| Digital Experience Management (DEM) | 16% | - User session analysis - Synthetic monitoring - Real User Monitoring (RUM) - Mobile monitoring (iOS & Android) |
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NEW QUESTION # 74
Your team has to investigate the performance of a database. Assuming all monitoring sources for a database are available, what tools can you use to find database performance information?
Answer: C
Explanation:
The 'Databases' app in Dynatrace offers a comprehensive, vendor-agnostic view of all monitored databases. It consolidates performance metrics such as CPU usage, memory consumption, active sessions, response times, and failed connections. It is designed to give users a centralized location for investigating the health and performance of databases, making it the primary tool for such tasks. The app enables teams to correlate issues with underlying infrastructure, understand resource consumption, and identify performance bottlenecks directly tied to the database.
Provided dashboards from a database extension may contain useful visualizations but lack the breadth of metrics and insights that the dedicated Databases app provides. Synthetic tests are primarily used for simulating user behavior to test availability and performance from the user's perspective-not for internal database monitoring. Looking at service data can help in understanding application-level issues but does not deliver detailed or direct metrics from the database layer.
Reference: Based on official Dynatrace University training materials and product documentation.
NEW QUESTION # 75
How can Dynatrace RUM be added for a website when you cannot install the OneAgent to the server?
Answer: B
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 # 76
Which view provides detailed W3C timings of pages and resources?
Answer: A
Explanation:
The Waterfall analysis view provides detailed W3C timing breakdowns for web pages and resources. It visualizes how each resource loads, including DNS lookup, connection time, SSL negotiation, request
/response time, and rendering.
This allows users to:
* Identify slow-loading resources
* Analyze frontend performance issues
* Understand page load behavior in detail
Session Replay focuses on visual playback of user sessions.
Distributed Traces focus on backend request flows.
Extensions v2 are unrelated to frontend timing analysis.
Reference: Based on official Dynatrace University training materials covering Real User Monitoring and waterfall analysis.
NEW QUESTION # 77
Given a scenario where you have a service with a problem of a high failure rate, which service page should be the first one to check?
Answer: D
Explanation:
The Failure Analysis page is the primary view for investigating high failure rates.
It provides:
* Breakdown of errors
* Failure patterns
* Root cause indicators
This makes it the first place to investigate when failures increase.
Reference: Based on official Dynatrace University training materials on service analysis.
NEW QUESTION # 78
A team approaches you about fetching code-level information in Dynatrace about an AWS Lambda/Azure function. Assuming it is instrumented with OneAgent, what's the best place to go to get information about the function?
Answer: C
Explanation:
In Dynatrace, serverless functions (AWS Lambda / Azure Functions) are represented as services when instrumented.
The Services page provides:
* Code-level insights
* Distributed traces
* Performance metrics
* Failure analysis
Other options:
* Hosts page is not applicable to serverless
* Logs page shows logs only
* Cloud provider pages show infrastructure-level data, not deep code insights Reference: Based on official Dynatrace University training materials on serverless monitoring.
NEW QUESTION # 79
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