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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Topic 2: Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
| Topic 3: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
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질문 # 56
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?
정답：A
질문 # 57
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
정답：B,C
설명：
[A] Configure an HTTP action and invoke it from a topic during the conversation.
This is a correct and supported solution.
You can fulfill this requirement directly within Microsoft Copilot Studio by configuring an HTTP Request node (HTTP action) inside a topic.
Real-Time Execution: The HTTP action is explicitly executed at runtime during the live conversation when the specific topic is triggered.
Native Authentication Support: The HTTP Request node allows you to securely pass authentication tokens, API keys, or custom credentials directly within the request headers.
Handles Structured JSON: The node natively supports standard REST methods (GET, POST, PATCH, PUT, DELETE) and can ingest structured JSON data, allowing you to parse and store the returned values into agent variables for use later in the conversation.
[C] Add the REST API as a tool and call it either by using a topic or agent instruction.
Depending on how your agent architecture is managed, you could also fulfill this requirement using these alternative methods:
*-> REST API Tools (OpenAPI Plugins): You can upload an OpenAPI specification directly into Copilot Studio to register the REST API as a native REST API tool/action.
* Power Automate Flows: You can invoke a Power Automate cloud flow from a topic, using the HTTP connector inside the flow to retrieve and pass back the JSON data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
질문 # 58
A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must choose an evaluation method that meets the following requirements:
Use a fixed set of prepared interactions.
Determine responses against a predefined baseline.
Support consistent comparison across repeated test runs.
You need to determine the evaluation method that satisfies the evaluation requirements.
정답：
설명：
Explanation:
Fixed prepared interactions # Use a curated prompt list; Predefined baseline # Compare against predefined expected outcomes; Repeatable comparison # Use a consistent scoring evaluation matrix.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A curated prompt list creates the controlled input population required for repeatability. Predefined expected outcomes establish what a correct or acceptable response should contain, which lets the evaluator judge performance against a baseline rather than against a reviewer ' s memory. A stable scoring matrix ensures that repeated runs are interpreted under the same thresholds and dimensions. Live conversations and post-rollout feedback can enrich the test inventory, but they cannot replace a fixed regression set because the questions, users, and context change. Publishing status confirms deployment, not response quality. General impressions are similarly unsuitable for consistent comparison. The team should select the scoring method according to the response type: semantic comparison for valid paraphrases, exact match for immutable values, keyword checks for mandatory phrases, and custom criteria for compliance or domain quality. Versioning the prompt list, expected answers, rubric, agent version, and knowledge snapshot is essential; otherwise a changed test set can be mistaken for a change in agent performance. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method.
질문 # 59
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.
정답：B,F
설명：
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.
질문 # 60
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?
정답：D
설명：
Defining test sets of prompts and expectations is the correct and recommended action to take.
Microsoft Copilot Studio includes a built-in feature specifically designed for this purpose called Agent Evaluation. This framework replaces subjective spot-checking with automated, scalable regression testing to ensure your agent behaves safely and consistently before you expand user access.
Reference:
https://techcommunity.microsoft.com/blog/copilot-studio-blog/agent-evaluation-in-microsoft-copilot-studio-is-now-generally-available/4507392
질문 # 61
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