Updated: Sep 15, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 3: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
- Each evaluation case is reported as meeting or missing the expected
response.
- Some evaluation cases fail repeatedly across several runs.
- Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Pass or fail status.
Based on the evaluation results, you can conclude the Pass or fail status.
Direct mapping: Measuring whether a case "meets" or "misses" an expectation is the definition of a binary pass/fail test.
Insufficient data for production: You cannot fully determine Production readiness because readiness requires broader metrics like latency, security, and user acceptance testing.
No diagnostic data: You cannot determine the Failure configuration because a simple "miss" label does not explain why the system failed or how it is misconfigured.
Box 2: Consistent outcomes
Based on the evaluation results, you can conclude that these are Consistent outcomes.
Definition of Consistency: Because the specific evaluation cases fail repeatedly across several runs, the behavior is predictable and stable, not random.
Box 3: Expected and generated responses:
The correct conclusion from these evaluation results is Expected and generated responses.
Expected and generated responses: The evaluation results explicitly show a side-by-side comparison between what the agent was supposed to say (expected response) and what it actually said (generated response). This allows you to conclude exactly how well the agent's outputs align with your test cases.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results
An agent in Copilot Studio is evaluated using a fixed test set and an automated evaluation method.
After running the evaluation, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?
Correct Answer: D 🗳️
Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).
Drag and Drop Question
A company uses a supported Power Platform connector to provide real-time access to enterprise records for knowledge grounding in an agent in Copilot Studio.
To meet the business needs, the knowledge source must provide the following functionality:
- Avoid copying enterprise data into an index.
- Keep source-system access controls enforced.
- Access data by calling the system at runtime.
You need to configure the connector knowledge source.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Use a real-time connector
Use a real-time connector to meet this requirement.
Power Platform connectors configured as real-time knowledge sources execute queries live at runtime under the user's connection and identity. Because the data is retrieved on demand directly from the source system, no data movement or replication takes place, completely avoiding copying enterprise data into a Microsoft 365 or Graph index.
Box 2: Use existing permissions
To meet the requirement of keeping source-system access controls enforced while using a supported Power Platform connector for real-time knowledge grounding in Microsoft Copilot Studio, you should use existing permissions.
Delegated Context: When structured Power Platform connectors are integrated as real-time knowledge sources, they execute queries dynamically in the security context of the user interacting with the agent.
Access Enforcement: By relying on use existing permissions, the underlying data source maps the authenticated user's credentials (such as Microsoft Entra ID) to ensure they only retrieve and see records they are explicitly authorized to view.
Computer Information Agency
Box 3: Retrieve data without indexing
To meet the requirement of accessing real-time data by calling the system at runtime using a Power Platform connector, you should retrieve data without indexing.
When you use a Power Platform connector for knowledge grounding in Copilot Studio, it functions via dynamic runtime queries:
No Pre-indexing Required: Unlike static knowledge sources, connectors fetch live records directly from the source system at the exact moment the user asks a question.
Real-Time Accuracy: Avoiding an external search index ensures that the AI agent always accesses the most current, up-to-the-minute enterprise data.
Reference:
https://suparnatechbasket.wordpress.com/2025/09/15/copilotstudio-realtime-connector-vs-graphconnector/
Hotspot Question
A team deploys Copilot Studio solutions by using Power Platform Pipelines.
You must configure a deployment strategy that meets the following requirements:
- Ensure that the solutions deploy in dev, test, and production
environments in order.
- Identify missing connection references or environment variables
before the deployment process begins.
- Manage all pipeline stages and security from a single, unified
location for all linked environments.
You need to configure the pipeline to meet the requirements.
What should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Sequential stage progression
Power Platform Pipelines stages are ordered, and each stage can specify its predecessor. A solution must be successfully deployed to the preceding stage before it becomes eligible for the next, which enforces dev → test → production ordering. Direct target selection would bypass that ordering entirely.
Box 2: Deployment input validation
Before the deployment runs, the pipeline validates the solution against the target environment and surfaces missing connection references, environment variable values, and other required inputs so they can be supplied up front. Managed solution deployment is just the packaging type; it doesn't perform pre-checks.
Box 3: Centralized pipeline configuration
The host (pipelines) environment holds the Deployment Pipeline Configuration app, where all stages and their security roles are defined for every linked development environment.
Environment-level or maker-defined settings would fragment that administration.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/run-pipeline
https://learn.microsoft.com/en-us/power-platform/alm/custom-host-pipelines
https://learn.microsoft.com/en-us/power-platform/alm/extend-pipelines
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/environmentvariables
https://www.microsoft.com/en-us/power-platform/blog/power-apps/environment-variables-are-now-always-visible-and-editable-during-solution-import-and-pipeline-deployments/
An agent in Copilot Studio is evaluated using a fixed test set and an automated evaluation method.
After running the evaluation, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?
Correct Answer: D 🗳️
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