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| Section | Weight | Objectives |
|---|---|---|
| Components & Architecture | 8% | - Dynatrace structure and components - OneAgent, ActiveGate, Dynatrace Platform - Integration with 3rd party systems - System communication and data reporting - Grail data lakehouse |
| Capabilities & Monitoring | 24% | - Smartscape real-time topology - How Dynatrace operates in your environment - Full-stack performance monitoring of applications - Data gathering and analysis - PurePath distributed tracing |
| Installation & Configuration | 20% | - ActiveGate setup - OneAgent deployment - Tags and management zones - Application instrumentation - Infrastructure monitoring configuration |
| Reporting & Analysis | 18% | - Dashboards and visualization - Notebooks and investigation - DQL (Dynatrace Query Language) - Log management and analytics - Business analytics and KPIs |
| Problems & Resolution | 14% | - Problem lifecycle and root cause analysis - Alerts and notifications - Davis AI anomaly detection - Event correlation |
| Digital Experience Management (DEM) | 16% | - Synthetic monitoring - Mobile monitoring (iOS & Android) - Real User Monitoring (RUM) - User session analysis |
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NEW QUESTION # 82
Select the most appropriate tool to use based on this scenario:
A colleague wants to see the Visually Complete time and the User Action time for a subset of user actions, filtered by a specific user action property and multiple different geolocations. This user specifically wants to ensure that they can see all the user actions that have the same name across multiple apps.
Answer: A
Explanation:
Multidimensional Analysis for User Actions is designed specifically for deep analysis of user actions with multiple filters and dimensions.
It allows:
* Filtering by user action properties
* Comparing across geolocations
* Aggregating user actions with the same name across applications
* Viewing metrics like Visually Complete time and User Action duration
Other tools are less suitable:
* USQL is legacy and less flexible
* Dashboards are for visualization, not deep filtering
* Data Explorer focuses on metrics, not user actions
* Notebooks are not optimized for this specific RUM analysis
Reference: Based on official Dynatrace University training materials on RUM and user action analysis.
NEW QUESTION # 83
Welcome to the Practical section of your exam!
This portion of the exam requires you to configure and analyze various components within Dynatrace and is open book using Dynatrace documentation ONLY by opening a new tab. The Dynatrace Operator is already deployed for you in a Kubernetes environment (Linux host) in Cloud-Native Full-Stack. The easyTrade and easyTravel applications are also already deployed for you. You will most likely only interact with the Dynatrace Environment (SaaS Platform). For a majority of these questions: paste or attach your screen captures directly to the question using the image control.
Information for connecting to exam components is provided in Dynatrace University in your event classroom.
Open the Associate Exam Event / Classroom and go to the Environments tab, https://universitv.dvnatrace.com
/account/events
If you deem it necessary: you may use SSH through the built in terminal or through an SSH client of your choice. Use the IP address and credentials provided to log in to the Linux virtual machine running your Kubernetes cluster. When you SSH to the public IP and are presented with the credential prompt, enter the provided username and then the provided password.
Review these and additional instructions for connecting to your environment and creating screenshots by clicking 'View all questions' and then the 'Info' icon.
easyTravel Information
easyTravel is a multi-tier application implemented in .Net and Java. It provides a web portal which allows users to log in, search for journeys to various destinations, select promotional journeys that are offered, and to book a journey using credit card details. Additionally, a Business-to-Business (B2B) web portal for travel agencies is provided where travel agencies can manage the journeys that they offer and can review reports about created bookings.
easyTrade Information
easyTrade is also a multi-tier application that allows you to login as a fake user or even create a new user.
After which point, you are able to buy and sell stocks or deposit money into your balance using fake information. These interactions will create transactions in Dynatrace for you to analyze. However, there is a load generator running which means that interacting with this page should not be necessary to answer the questions.
Tips for completing tasks:
1. Read each task carefully and fully before starting, and then follow the instructions to complete each task.
2. Be sure your screen captures match the requirements stated and are readable.
3. To create your screen captures, you can zoom your screen, or take multiple screenshots to show all the areas requested. You can attach multiple images to the same question. It is recommended to provide more proof than necessary and document your steps. When in doubt, the old saying "show your work", comes in handy.
4. Use a screen capture tool to create and then copy to your clipboard and paste screen captures directly into the file upload control. To upload a file, allowed file types for the upload are: Jpg, .jpeg, and .png.
5. When saving your images for upload into the test be sure that your image titles do not contain the following characters:!,-,_,.,",',(,).
6. To access the web portal, use the links found in the SSH terminal. They will be listed as soon as you login.
Tasks1:
An application team needs to know how much memory their application, EasyTrade, is taking up in their Kubernetes cluster. They have to see the memory usage for all the pods running in the "easytrade' namespace, summed up into a single metric. Use a Dashboard in the new Platform interface (not Dashboards Classic) to show this information to the team and set the timeframe for this data to look at the last 30 minutes. Call this dashboard "EasyTrade memory usage".
Screen capture(s) required:
Upload image(s) that show the following:
1. A dashboard "EasyTrade memory usage".
2. The tile used to display memory usage for all pods in the "easytrade" namespace as well as its configuration.
Answer:
Explanation:
See the solution below
Explanation:
Objective
Create a dashboard in the new Dynatrace platform (NOT Classic) that shows:
* Memory usage
* For all pods
* In easytrade namespace
* Summed into a single metric
* Timeframe = Last 30 minutes
* Dashboard name = EasyTrade memory usage
# STEP-BY-STEP EXECUTION
# Step 1: Open Dashboards (New Platform)
* Go to: # Dashboards & Notebooks
* Click: # Dashboards
* Click: # Create Dashboard
# Step 2: Name the Dashboard
* Set name exactly as: # EasyTrade memory usage
## Match spelling exactly (case-sensitive matters sometimes)
# Step 3: Add a Tile
* Click: # Add Tile
* Select: # Data Explorer
# Step 4: Select the Correct Metric
In the metric selector:
# Choose:
* Kubernetes container memory usage
Typical metric:
builtin:kubernetes.container.memory.usage
# Step 5: Apply Namespace Filter
* Add filter: # Kubernetes Namespace = easytrade
## This is CRITICAL (without this # wrong answer)
# Step 6: Aggregate Data (MOST IMPORTANT STEP)
* Set: # Aggregation = SUM
# This ensures:
All pods memory = ONE combined value
# Step 7: Remove Splitting
* Ensure: # No Split by anything (pod/container/etc.)
## If you see multiple lines # YOU DID IT WRONG
# Step 8: Choose Visualization
Pick one:
* # Single value tile (BEST for exam)
* OR simple graph (no split)
# Step 9: Set Timeframe
Top right of dashboard:
# Set:
* Last 30 minutes
# Step 10: Save Dashboard
* Click: # Save
NEW QUESTION # 84
I want to use Dynatrace's global network of Synthetic Monitoring locations to monitor my application, which capability provides this?
Answer: D
Explanation:
Public Synthetics use Dynatrace's global network of locations to test applications from various geographic regions.
* Ideal for global availability testing
* No infrastructure setup required
Private Synthetics are for internal environments.
Reference: Based on official Dynatrace University training materials on Synthetic Monitoring.
NEW QUESTION # 85
In Distributed Traces, how is the trace-id propagated in an environment?
Answer: A
Explanation:
In distributed tracing, Dynatrace follows standard tracing protocols (such as W3C Trace Context), where the trace ID is propagated via HTTP headers between services.
This enables:
* End-to-end trace continuity across services
* Correlation of requests across distributed systems
* Seamless tracking through microservices architectures
The trace context is typically included in headers like traceparent, ensuring each downstream service continues the same trace.
Other options are incorrect because:
* XML and JSON payloads are not used for trace propagation
* TLS handshake is unrelated to trace context propagation
Reference: Based on official Dynatrace University training materials covering distributed tracing and W3C trace context.
NEW QUESTION # 86
What can conversion goals be based on? (Select all that apply)
Answer: B,C,D,E
Explanation:
In Dynatrace Digital Experience Monitoring, conversion goals are used to measure key user behaviors and business outcomes. These goals can be defined based on several criteria related to user sessions and actions.
Supported bases for conversion goals include:
* Specific User Action , such as clicking a button or completing a defined interaction
* Destination URL , where reaching a specific page indicates a successful conversion
* Number of Actions per Session , which reflects engagement level
* Session Duration , indicating how long users interact with the application The Number of Errors on Session end is not used as a basis for defining conversion goals. Instead, it is used more for session quality analysis rather than measuring successful conversions.
Reference: Based on official Dynatrace University training materials covering Real User Monitoring and conversion goals.
NEW QUESTION # 87
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