I have a Smart IoT device which supports neither OneAgent nor Agentless RUM.What could I use to track User Sessions in Dynatrace?
Answer(s): C
OpenKit is used for custom instrumentation when standard agents are not supported.It enables:Tracking user sessionsSending custom telemetry dataMonitoring IoT or unsupported environments
Based on official Dynatrace University training materials on OpenKit.
How often are Classic Dashboard reports sent out? (Select all that apply)
Answer(s): A,D
Classic dashboard reports can be scheduled:WeeklyMonthlyDaily and bi-weekly options are not supported in classic reporting.
Based on official Dynatrace University training materials on reporting.
What is the default retention period for Logs?
Dynatrace stores logs with a default retention period of 35 days.This provides:Sufficient time for analysisBalance between storage and cost
Based on official Dynatrace University training materials on log management.
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(s): B
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.
Based on official Dynatrace University training materials and product documentation.
For supported technologies, do Kubernetes workloads and pods get monitored differently than traditionally monitored OneAgent processes?
Answer(s): E
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.
Based on official Dynatrace University training content and architecture documentation.
Which options exist to send OpenTelemetry data to Dynatrace?
Answer(s): B,C,D
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.
What are the different User Types? (Select all that apply)
Answer(s): B,C
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.
Based on official Dynatrace University training materials covering Real User Monitoring and Synthetic Monitoring concepts.
Select the Dynatrace capability that provides a visualization of all the topological dependencies in my infrastructure, processes and services.
Smartscape is the Dynatrace capability that provides a real-time visualization of the entire environment, including all topological dependencies across infrastructure, processes, services, and applications.It automatically maps and displays relationships between:Hosts and infrastructure componentsProcesses running on those hostsServices and how they communicate with each otherThis dynamic topology view allows users to quickly understand dependencies, identify bottlenecks, and analyze the impact of issues across the full stack.Other options such as “Technologies and Processes classic” and “Services classic” provide filtered or specific views but do not deliver the complete, unified topology visualization. “Dynatrace Extension” is used to extend monitoring capabilities and does not provide topology visualization.
Based on official Dynatrace University training materials describing Smartscape and topology visualization.
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in question 22, shouldnt be in the data (option a) layer?
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q15. answer is b. simple
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q252: dns poisoning is the correct answer, not locator redirection. beaconing is detected from a host. this indicates that the system has been infected with malware, which could be the source of local dns poisoning. location redirection works by either embedding the redirection in the original websites code or having a user click on a url that has an embedded redirect. since users at a different office are not getting redirected, it isnt an embedded redirection on the original website and since the user is manually typing in the url and not clicking a link, it isnt a modified link.
helpful dump questions
question 423 eigrp uses metric
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physical tempering techniques
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for this question - "which three type of basic patient or member information is displayed on the patient info component? (choose three.)", list of conditions is not displayed (it is displayed in patient card, not patient info). so should be thumbnail of chatter photo
q52 should be d. vm storage controller bandwidth represents the amount of data (in terms of bandwidth) that a vms storage controller is using to read and write data to the storage fabric.
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question # 208: failure logs is not an example of operational metadata.
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