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| Section | Weight | Objectives |
|---|---|---|
| Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
| Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
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NEW QUESTION # 37
Hotspot Question
A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must select 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.
Which evaluation method should you select for each requirement? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Use a curated prompt list.
The best evaluation method for this requirement is to use a curated prompt list.
Using a curated prompt list allows you to test the agent against a fixed, predefined set of prepared interactions. This method ensures consistency, as you can run the exact same test inputs before and after making updates to measure improvements or regressions accurately.
Copilot Studio supports automated testing and evaluation precisely through these types of structured test datasets.
Box 2: Compare against predefined expected outcomes.
To determine an agent's responses against a predefined baseline before expanding access, the best evaluation method is to compare against predefined expected outcomes.
Structured & Repeatable Validation: By configuring an evaluation set of conversations with exact or partial expected outcomes, you eliminate guesswork.
Targeted Graders: You can utilize different graders in the Copilot Studio Evaluation Tool (e.g., General Quality, Similarity, or Exact Match) to check if your agent's responses meet your business standards.
Box 3: Use a consistent scoring evaluation matrix
The best evaluation method to satisfy these requirements is to use a consistent scoring evaluation matrix via the built-in Agent Evaluation tool.
This method satisfies the need for repeated, reliable, and standardized comparisons across multiple testing cycles:
Automated & Structured: Agent Evaluation automatically runs up to 100 scenarios using consistent scoring mechanisms like exact text matching, semantic meaning comparison, or AI- driven quality grading.
Consistent Baselines: Every evaluation run generates a versioned, auditable scorecard, allowing you to see exactly whether changes improved or degraded the agent's performance over time.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agents-experience/analytics-agent-evaluation-intro
NEW QUESTION # 38
A company uses an agent flow that occasionally requires human input before continuing execution.
Some automated actions must pause until a human provides a decision or additional information. The flow must be configured to:
* Capture a human response for use in later steps.
* Continue processing within the same flow run after the response is submitted.
* Wait for a manual decision before proceeding.
You need to configure a human-in-the-loop agent flow.
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:
Capture response # Use the action ' s response outputs in later steps; Continue the same run # Allow the action to wait for and return a response before continuing; Require a manual decision # Add a human approval action.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A human-in-the-loop flow must preserve execution state while it waits. The approval or information action pauses the current run and returns a response when the designated person acts; triggering a new flow would lose that direct continuation contract. The response outputs-decision, comments, supplied fields, responder, and timestamps as applicable-are then referenced by downstream conditions and actions. A human approval action provides the explicit decision gate required before processing continues. Sending a notification or message alone does not wait and cannot guarantee that the decision controls the flow. The designer should configure expiration, escalation, reassignment, and rejection paths so the run cannot remain suspended without governance.
Responses should be validated before use, and sensitive values should be protected in variables and history.
Test approval, rejection, timeout, duplicate response, and unauthorized response scenarios. These controls ensure that human oversight changes execution deterministically instead of acting as an informational side channel. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Create a human-in-the-loop agent flow.
NEW QUESTION # 39
An agent in Copilot Studio already exists in a development environment.
You need to prepare the agent so it can be moved to a production environment by using the supported solution-based approach.
You need to create an exportable package that contains the existing agent.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: D,E
Explanation:
Comprehensive and Detailed Explanation From [Microsoft AB-620 Study Guide] First, create a custom solution in the development environment and add the existing agent by selecting Add existing → Agent → Agent. The solution acts as the application lifecycle management package that contains the agent and its dependent components. Required objects such as agent flows, environment variables, connection references, and custom connectors should also be included when applicable.
After the agent and its dependencies are included, export the solution from the development environment. Microsoft's documented procedure starts from the list of unmanaged solutions and exports the solution containing the agent. During the export process, the maker can select the appropriate package type. Production deployments commonly use a managed export, but the source development solution remains unmanaged; it does not need to be converted before export.
Removing topics directly from the solution is specifically discouraged because changing or removing agent components outside the standard Copilot Studio authoring interface can cause export or import failures. Publishing the agent to a channel is also unrelated to creating a solution package. After the solution is imported into production, the imported agent must be configured, tested, and published in that environment.
Relevant study-guide area: Test and manage agents → Implement application lifecycle management for agents in Copilot Studio → Create a solution and add existing agents to a solution. See Export and import agents using solutions.
NEW QUESTION # 40
You need to determine which authentication model should be applied to each Blue Yonder Copilot interaction scenario to comply with the company's security and governance requirements.
Which authentication requirement should you apply to each scenario? To answer, move the appropriate authentication requirements to the correct user scenarios. You may use each authentication requirement 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:
NEW QUESTION # 41
A company uses multiple Copilot Studio agents that perform specialized tasks.
The company needs to enable one agent to directly delegate and invoke another agent within Copilot Studio by using a standard Copilot Studio interface.
You need to configure collaboration among agents by using Copilot Studio.
What should you do?
Answer: B
Explanation:
The correct step to take is to provide A2A (Agent-to-Agent) endpoint information for the target agent.
Standard Multi-Agent Protocol: The Agent-to-Agent (A2A) protocol is the open, standard framework specifically designed to allow independent agents to directly communicate, discover capabilities via agent cards, and delegate workflows across standard interfaces. Providing the A2A endpoint information allows the orchestrating agent to securely hand off specialized tasks to the target agent.
Incorrect:
[Not A]
Adding the target agent as a Microsoft Fabric Data Agent is a separate, specialized pattern reserved strictly for reasoning over heavy data science pipelines and querying enterprise data lakes (like Lakehouses or Semantic Models). It is not used for standard cross-framework agent collaboration or general delegation within the native Copilot Studio interface.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agents-experience/add-agent-connected
NEW QUESTION # 42
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