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| Section | Weight | Objectives |
|---|---|---|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
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NEW QUESTION # 52
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The company has the following requirements for the application:
The deployment workflow must follow a dependency driven sequence.
The agent must be published before configuration values are retrieved.
End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate 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.
Answer:
Explanation:
NEW QUESTION # 53
A company uses an agent in Copilot Studio to generate structured responses for internal users.
The agent must meet the following requirements:
- Consistently follow a reusable instruction template for response tone and structure.
- Use an enterprise-approved foundation model for responses generated
through the template.
You need to configure custom prompts so the agent uses the Microsoft Foundry model catalog.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
To configure your Copilot Studio agent to use an enterprise-approved model from the Microsoft Foundry model catalog and apply a consistent, reusable instruction template, follow these exact technical steps:
[D] Step 1: Select and Connect the Model from the Foundry Catalog
You must bridge your Microsoft Foundry (Azure AI Foundry) deployment with Copilot Studio via the prompt configuration panel.
[E] Step 2: Create the Template and Apply It to the Agent Flow
Now, write the reusable instruction template for structured responses and map it to your conversation topics.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/employee-self-service/design-best-practices
NEW QUESTION # 54
You deploy an agent in Microsoft Copilot Studio that triggers a cloud flow to update customer records in Microsoft Dataverse.
You observe the following after deploying the agent:
Several runs fail because of a temporary authentication issue.
The flow continues to trigger and generate additional failed runs.
You must:
Stop additional failed executions while troubleshooting.
Process a failed execution after resolving the authentication issue.
Validate whether the most recent executions succeeded immediately after resolution.
You need to use the appropriate monitoring and management actions to restore normal flow operation and validate successful execution.
Which action should you perform for each requirement?
Answer:
Explanation:
NEW QUESTION # 55
A company wants to move an agent, along with its connection references and environment variables, from development to test to production in a repeatable, automated way. What should you use?
Answer: C
Explanation:
Solution-based ALM (via Power Platform pipelines or managed solution export/import) is the supported, repeatable way to move agents and their dependent components across environments.
NEW QUESTION # 56
Hotspot Question
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
- Must implement safeguards to block unsafe or harmful content.
- Must implement protections for user prompts and model-generated
responses.
- Must be able to investigate why responses are filtered.
You need to configure Responsible AI safeguards and diagnostics.
Which setting should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Configure the content filtering level for AI-generated content.
To configure safeguards and manage blocked generative responses effectively during your pilot testing, you should perform the following action: Configure a custom Azure OpenAI Content Filter policy with stricter severity thresholds and apply it to your agent's deployment.
Box 2: Review Azure Application Insights telemetry
Reviewing Azure Application Insights telemetry is the correct and recommended action to take.
When you deploy generative AI models in Azure (such as Azure OpenAI), safety filters monitor both incoming prompts and outgoing completions. If a response is blocked, Azure logs this event as a specific exception or telemetry metric.
Box 3: Review conversation transcripts
A good action to take is to review conversation transcripts.
Troubleshooting Blocked Responses
Conversation transcripts: Inspecting the downloaded or logged session transcripts allows you to look at the exact turn, user message, or grounded data that caused the Responsible AI filter to trigger the block.
Application Insights telemetry: Correlating the Conversation ID from the error with custom events or exceptions in Azure Application Insights helps verify the exact internal code (such as openAIndirectAttack or ContentFiltered).
Reference:
https://learn.microsoft.com/en-us/troubleshoot/power-platform/copilot-studio/generative-answers/agent-response-filtered-by-responsible-ai
NEW QUESTION # 57
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