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Microsoft AB-620 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
| Topic 2: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Topic 3: Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:
A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?
- A. Enable conversational boosting and select a Foundry-approved model.
- B. Require grounding for generative answers and use Azure AI Search as the retrieval source.
- C. Enable citations and configure a public model endpoint.
- D. Use Azure AI Search as a tailback source and enable answer expansion.
- E. Upload documents into the agent and disable fallback responses.
Correct Answer: B 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
Does the solution meet the goal?
- A. Yes
- B. No
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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.
Correct Answer:
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
Drag and Drop Question
A company is building an agent topic in Copilot Studio. The agent topic uses a generative answers node to respond to user questions based on authorized knowledge sources.
To meet the business needs, the generative answers node must meet the following requirements:
- Use the user's message in the generative answers node.
- Scope the topic node to query only designated data.
- Restrict responses to approved enterprise data.
You need to configure the generative answers node to meet the requirements.
What should you configure for each requirement? To answer, move the appropriate configurations to the correct 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.
Correct Answer:
Explanation:
Box 1: Select the Activity.Text in the Input field
To use the user's message inside a generative answers node in Microsoft Copilot Studio, map the node's Input field to the System.Activity.Text system variable. This variable captures the exact text of the user's most recent message or trigger phrase.
Box 2: Select Search only selected sources.
To scope a Generative Answers node to query only designated data within a specific topic in Microsoft Copilot Studio, you must use the "Search only selected sources" setting within the node's properties and isolate your knowledge base.
Box 3: Clear Allow the AI to use its own general knowledge
You configure this correctly by unchecking/clearing the "Allow the AI to use its own general knowledge" option.
When configuring a Create generative answers node in Microsoft Copilot Studio, the system handles external versus internal knowledge sources based on specific toggles:
Preventing Hallucinations: Leaving "Allow the AI to use its own general knowledge" enabled allows the large language model (LLM) to fall back on its public training data (e.g., ChatGPT data) when it cannot find answers in your custom sources.
Strict Enterprise Grounding: Turning this setting OFF explicitly mandates that the agent uses only the authorized enterprise repositories (like SharePoint sites, uploaded files, or custom databases) attached to your node or agent. If an answer isn't in those specific sources, the node stops and hands the query off to your fallback or error-handling flows instead of guessing.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
https://learn.microsoft.com/en-us/answers/questions/5666256/generative-answers-node-search-only-selected-sourc
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 choose an evaluation method that meets the evaluation requirements.
What should you do?
- A. Manually review conversation transcripts to identify successful outcomes.
- B. Launch a limited pilot and evaluate with customer satisfaction score and containment metrics from live users.
- C. Monitor the Analytics dashboard for session abandonment rates.
- D. Apply a standardized evaluation matrix.
Correct Answer: D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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