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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Problems & Resolution | 14% | - Event correlation - Problem lifecycle and root cause analysis - Alerts and notifications - Davis AI anomaly detection |
| Topic 2: Components & Architecture | 8% | - System communication and data reporting - Dynatrace structure and components - Integration with 3rd party systems - Grail data lakehouse - OneAgent, ActiveGate, Dynatrace Platform |
| Topic 3: Digital Experience Management (DEM) | 16% | - Synthetic monitoring - User session analysis - Real User Monitoring (RUM) - Mobile monitoring (iOS & Android) |
| Topic 4: Installation & Configuration | 20% | - Application instrumentation - ActiveGate setup - Infrastructure monitoring configuration - Tags and management zones - OneAgent deployment |
| Topic 5: Reporting & Analysis | 18% | - Business analytics and KPIs - DQL (Dynatrace Query Language) - Log management and analytics - Notebooks and investigation - Dashboards and visualization |
| Topic 6: Capabilities & Monitoring | 24% | - Full-stack performance monitoring of applications - PurePath distributed tracing - Smartscape real-time topology - Data gathering and analysis - How Dynatrace operates in your environment |
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NEW QUESTION # 24
Which of the following Synthetics simulate an HTTP request to a URL or endpoint?
Answer: D
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 # 25
For supported technologies, do Kubernetes workloads and pods get monitored differently than traditionally monitored OneAgent processes?
Answer: C
Explanation:
Yes, Kubernetes workloads and pods are monitored differently compared to traditional OneAgent-monitored processes. When Dynatrace is deployed into Kubernetes using the Dynatrace Operator, the OneAgent automatically injects itself into each pod at runtime. This means each container is monitored independently and is shown in Dynatrace as a container entity , not as a traditional process.
This container-based visibility is designed to suit the dynamic and short-lived nature of Kubernetes environments. Traditional OneAgent monitoring associates metrics and topology with processes and hosts, but in Kubernetes, the emphasis shifts toward containers, pods, and workloads. This shift allows Dynatrace to provide accurate and timely data on what's really happening inside containerized apps, aligned with Kubernetes-native objects and metrics.
Other answer options either misstate the behavior (e.g., no service data or requiring OpenTelemetry) or oversimplify the relationship between traditional and Kubernetes monitoring (e.g., "same general information"), making Option E the only correct and fully accurate one.
Reference: Based on official Dynatrace University training content and architecture documentation.
NEW QUESTION # 26
Which of these data sources can I utilize when a Kubernetes cluster is being monitored?
Answer: B,C,E
Explanation:
When monitoring Kubernetes, Dynatrace provides multiple relevant data sources:
* Prometheus metrics - ingested and analyzed alongside other metrics
* Infrastructure-level metrics - CPU, memory, disk usage from nodes
* Kubernetes-specific events and metrics - pods, deployments, namespaces, cluster events Other options:
* Code-level insights relate to application tracing, not Kubernetes data sources directly
* OpenKit is used for custom user session tracking, not Kubernetes monitoring Reference: Based on official Dynatrace University training materials on Kubernetes monitoring.
NEW QUESTION # 27
Which Dynatrace capability can be used to query ingested log data?
Answer: C
NEW QUESTION # 28
What are the different User Types? (Select all that apply)
Answer: B,D
Explanation:
Dynatrace categorizes user types primarily into Real Users and Synthetic Users .
* Real Users represent actual human users interacting with applications. Their behavior is captured through Real User Monitoring (RUM), which tracks real-time user interactions, performance, and experience.
* Synthetic Users are simulated users generated by Synthetic Monitoring. These are automated scripts that mimic user behavior to test availability and performance proactively.
The terms "Robots" and "Human" are not official Dynatrace user type classifications in the platform.
Dynatrace specifically uses the standardized categories of Real and Synthetic users for monitoring and analysis.
Reference: Based on official Dynatrace University training materials covering Real User Monitoring and Synthetic Monitoring concepts.
NEW QUESTION # 29
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