You need to configure the agent in Copilot Studio to use internal and external partner knowledge sources to answer user questions about the airline services.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A.Use a Microsoft Graph connector to index the partner's travel advisory content.
• B.Write individual Q&A pairs for each document as separate topics.
• C.Enable unrestricted web search for the agent.
• D.Add the internal policy documents as a knowledge source.

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You are testing an agent in a development environment and need to verify how it responds across multiple conversation paths before publishing to production. What should you use?

• A.The Test panel in the authoring canvas
• B.Directly editing the production channel
• C.Deleting and recreating topics
• D.Power BI

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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

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A team is developing an agent in Copilot Studio and wants to evaluate its behavior before expanding access.
The team needs a repeatable, consistent method to test the agent using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?

• A.Review evaluation scores from previous production sessions.
• B.Enable telemetry and analytics to monitor intent matches, fallback usage, and response frequency.
• C.Define test sets of prompts and expectations.
• D.Change the evaluation method to a qualitative approach.
• E.Publish the agent to additional channels for broader usage.

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Drag and Drop Question
A company has an Azure AI Search vector index that contains enterprise content and wants to use it as a knowledge source for an agent in Copilot Studio.
To meet business needs, the knowledge source must meet the following requirements:
- The agent must connect to the Azure AI Search service.
- The agent must use a supported authentication method for the
connection.
- The agent must ensure answers are grounded using the specified Azure
AI Search index.
You need to connect to Azure AI Search as a knowledge source for the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation:
Step 1: Initiate the process to add a knowledge source to the agent
You start inside Copilot Studio by navigating to your agent's settings and choosing to add a new knowledge source.
Step 2: Create a new Azure AI Search connection
From the available knowledge source options, you select Azure AI Search, which prompts the creation of a new connection.
Step 3: Configure the authentication method and provide the required connection details You input the necessary credentials (such as your Azure AI Search endpoint and API key or OAuth details) to authenticate the connection securely.
Step 4: Specify the Azure AI Search index to use for grounding
Once connected, you select the specific vector index that contains your enterprise content so the model knows where to look.
Step 5: Associate the configured knowledge source with the agent
Finally, you save and link this configured search source to the agent, enabling it to ground its responses using your enterprise data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search

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