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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 # 95
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
[A]
You must publish the agent to ensure that the updated model settings take effect and that all prompt-driven responses automatically transition to using the approved model across your connected channels.
Changing the generative AI model in Microsoft Copilot Studio modifies the configuration in the authoring canvas, but it does not instantly apply to live users. Publishing the agent pushes these metadata changes to production, ensuring data compliance and governance standards are met.
[E]
To ensure that prompt-driven responses are generated using an approved model while continuing to use your reusable instruction template, you must ensure the reusable instruction template is the one applied to the agent that generates the structured response (specifically by selecting the compliant model within the Copilot Studio agent's settings where the template is run).
Incorrect:
[Not C]
Large Language Models (LLMs) cannot see or change the infrastructure they are running on.
The reality: Adding a text instruction like "Use GPT-4" into a prompt template does not physically change the underlying model being utilized by Copilot Studio. If the agent is configured to use an unapproved model, it will continue to use that model to read your new instruction.
[Not D]
Grounding sources provide factual data, not model governance.
Azure AI Search acts as a Retrieval-Augmented Generation (RAG) data source to prevent hallucinations and provide internal documents to the agent. It does not dictate or enforce which underlying LLM orchestrates and generates the final response text.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-model-settings
NEW QUESTION # 96
A company must enable an agent in Copilot Studio to execute operations exposed by an external MCP server.
The MCP server publishes callable tools and requires authentication.
The agent must be able to invoke MCP tools during conversations.
You need to configure MCP tools so the agent can execute MCP tool calls.
What should you do?
Answer: B
Explanation:
You must add a new Model Context Protocol tool to your agent and configure it with OAuth 2.0 authentication settings. This registers the server's published capabilities as native actions that the agent can orchestrate during conversation.
Reference:
https://learn.microsoft.com/en-us/power-pages/configure/mcp-connect-clients
NEW QUESTION # 97
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 by using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?
Answer: B
Explanation:
A test set provides the controlled evaluation method required in this scenario. It consists of prepared prompts or questions together with defined expectations, such as an expected response or evaluation criterion. Copilot Studio can run the same test cases repeatedly, capture the agent's generated responses, and compare the results against the established baseline. Because the inputs and expectations remain fixed, changes between runs can be attributed more reliably to modifications in the agent's instructions, topics, tools, or knowledge configuration.
A qualitative review may be useful during exploratory testing, but it depends heavily on individual judgment and does not provide the same repeatability. Previous production sessions also contain uncontrolled user inputs and changing conversational context, so they are unsuitable as a standardized baseline. Publishing the agent to additional channels expands exposure rather than validating response quality.
Telemetry and analytics are valuable after deployment for monitoring fallback frequency, topic usage, engagement, containment, and other operational behavior. However, analytics alone do not execute a fixed collection of interactions or compare each response with a predefined expectation. They therefore complement formal evaluation rather than replace it.
The appropriate action is to define and repeatedly execute a test set containing prompts and expected outcomes. Relevant study-guide areas are Evaluate agent responses , Create and run test sets , and Analyze evaluation results . See Agent evaluation overview .
NEW QUESTION # 98
Drag and Drop Question
A team wants to automate solution deployment between environments. Deployments must follow a controlled, repeatable process.
The team needs to implement a pipeline-based deployment process that enforces the correct dependency order.
You need to implement a deployment pipeline and determine the correct sequence of actions.
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:
Explanation:
To implement a controlled, repeatable deployment process using Power Platform Pipelines, you must follow a structured setup sequence. Setting up the infrastructure and linking environments must occur before you can execute or review any deployments.
Step 1: Enable pipelines for the tenant
Install the Power Platform Pipelines application in your host environment to unlock the configuration tools.
Step 2: Assign environments to the pipeline stages
Link your development, QA, and production environments to the pipeline as stages to establish the deployment path.
Step 3: Trigger a pipeline run
Select your solution in the development environment and initiate the deployment to the next stage.
Step 4: Review deployment results
Check the run history and deployment logs within the pipelines app to verify success or troubleshoot failures.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/run-pipeline
NEW QUESTION # 99
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The approved solution preserves the reusable prompt template and changes the model configuration that actually executes it.
Applying the established template retains the required tone, structure, and repeatable instruction set. Selecting an approved model in the prompt configuration ensures that prompt-driven responses are produced by a model permitted under the organization ' s governance policy. An instruction that tells the model to use an approved model cannot control the underlying runtime; model selection is a platform configuration, not a behavior the model can enforce on itself. Citations address provenance, not model approval. Azure AI Search supplies grounding data but also does not choose the foundation model. Publishing is necessary to expose completed changes to users, yet it does not automatically substitute a compliant model. The team should also test the prompt against representative inputs after changing models, because output quality, formatting adherence, latency, and token behavior can vary across models even when the prompt remains identical.
Governance records should capture the selected model, prompt version, owner, and validation evidence.
Study Guide alignment: Integrate and extend agents in Copilot Studio > Integrate agents with Azure > Configure custom prompts to use the Foundry model catalog.
NEW QUESTION # 100
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