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| Section | Weight | Objectives |
|---|---|---|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
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NEW QUESTION # 24
Drag and Drop Question
A team is preparing to assess an agent in Copilot Studio before expanding access to additional users.
The team requires an evaluation that provides controlled, repeatable, and consistently measured test runs.
The evaluation must:
- Be triggered directly by the team to control when testing occurs.
- Determine success based on clearly established acceptance criteria.
- Rely on a predefined set of inputs that ensures consistency across
repeated runs.
You need to configure the evaluation to meet the requirements
What should you configure? To answer, move the appropriate configurations to the correct evaluation 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.
Answer:
Explanation:
Explanation:
Box 1: Execute the evaluation on demand
To trigger structured, repeatable agent evaluations manually inside Microsoft Copilot Studio so your team can precisely control when testing occurs, you should click Evaluate directly from the Evaluate tab within the Copilot Studio user interface.
Selecting this option initiates an on-demand, interactive test run against your defined test sets.
Box 2: Compare responses against defined expectations
Comparing generated responses against defined expectations is exactly how you establish pass/fail signals. Microsoft Copilot Studio automates this process so you can achieve controlled, repeatable, and consistently measured tests before expanding access.
Box 3: Use a curated prompt list as the interaction source.
Using a curated prompt list-known as an evaluation test set-is exactly how you ensure consistency. It removes subjective, one-off testing and establishes a structured framework for measuring response quality.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-overview
NEW QUESTION # 25
Drag and Drop Question
A company is designing an agent flow that includes human in the loop stages during execution.
The company requires that the agent flow perform the following actions:
- Must wait for a human decision before it resumes.
- Must collect information and then continue execution.
You need to configure the flow behavior.
Which flow behavior should you configure for each stage? To answer, move the appropriate flow behaviors to the correct stages. You may use each flow behavior 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.
Answer:
Explanation:
Explanation:
Box 1: Wait for response and branch based on the decision
The best action to take is Wait for response and branch based on the decision because a binary or multi-path approval requires distinct logical paths (such as proceeding if approved or canceling/revising if rejected) rather than just logging the text input.
Box 2: Wait for response and capture inputs
The correct answer is Wait for response and capture inputs.
Captures Data: The prompt explicitly states that the agent must "collect information" before moving forward.
Pauses Execution: To collect this information from a human, the workflow must pause ("Wait for response") and hold the collected data ("capture inputs") to use in the subsequent steps.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/flows-advanced-approvals
NEW QUESTION # 26
An agent in Copilot Studio must complete tasks by automating interactions with a legacy desktop application that does not use APIs.
During testing, the builder must confirm that the automation runs in a supported execution context and can inspect how each automation step executes during conversations.
To meet the business needs, the solution must:
* Execute UI automation in a supported, platform-managed environment.
* Provide visibility into how automation steps run during agent conversations.
You need to configure the agent based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
Answer: A,C
Explanation:
The computer use tool enables a Copilot Studio agent to operate graphical interfaces when an application does not expose a suitable API. It uses a computer-using model, virtual mouse, keyboard, and visual reasoning to select controls, enter information, and navigate desktop applications. The builder must configure an eligible Windows execution target, such as a supported Cloud PC or registered machine, and provide clear task instructions, connection details, credentials, and permitted applications.
Execution visibility is provided through the agent's runtime activity information. From the agent's Activity section, the builder can select an individual run and inspect its activity map or transcript. Computer-use testing also provides a step-by-step log and a preview of the actions performed on the configured machine.
This enables the builder to confirm which controls were selected, how the automation progressed, and where failures occurred.
A knowledge source cannot interact with a graphical interface, while a custom connector requires an API.
Publishing makes a completed configuration available to users but does not itself configure UI automation or provide step-level diagnostic visibility.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Add tools to agents # Configure and monitor computer use for an agent . See Automate web and desktop apps with computer use and Monitor computer use .
NEW QUESTION # 27
You need an agent built in Copilot Studio to invoke tools hosted on an external server using a standardized protocol that exposes tool schemas and capabilities for consumption by AI models.
Which protocol should you use?
Answer: C
Explanation:
MCP is the standardized protocol that lets an agent discover and call external tools/resources exposed by an MCP server, using a consistent schema the model can reason over.
NEW QUESTION # 28
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.
Answer:
Explanation:
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
NEW QUESTION # 29
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