Free PDF 2026 Microsoft Accurate AB-620: Designing and Building Integrated AI Agent Solutions in Copilot Studio Reliable Test Objectives

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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and configure agent solutions30–35%- Plan an agent solution
  • 1. Plan channels and deployment options
  • 2. Identify business requirements and use cases
  • 3. Define responsible AI and governance strategy
  • 4. Evaluate security, compliance, and data privacy considerations
- Configure agent foundations
  • 1. Design agent identity, personality, and instructions
  • 2. Configure knowledge sources and data connections
  • 3. Set up environment variables and configuration settings
  • 4. Define topics, triggers, and conversation flows
Topic 2: Test, deploy, and manage agents20–25%- Test and validate agent performance
  • 1. Measure accuracy, relevance, and safety
  • 2. Debug and resolve errors or unexpected behavior
  • 3. Create test cases and evaluation datasets
- Deploy and manage agent lifecycle
  • 1. Implement application lifecycle management (ALM)
  • 2. Monitor usage, performance, and health
  • 3. Update, version, and retire agents
  • 4. Prepare solutions for deployment
Topic 3: Build and extend agents in Copilot Studio40–45%- Implement advanced capabilities
  • 1. Add tools, actions, and automation
  • 2. Customize models and prompt engineering
  • 3. Implement computer-use and advanced action agents
  • 4. Configure retrieval-augmented generation (RAG)
- Integrate with services and systems
  • 1. Integrate with Microsoft Foundry and MCP servers
  • 2. Implement multi-agent solutions and orchestration
  • 3. Connect to Microsoft 365, Azure, and external enterprise systems
  • 4. Connect to APIs, custom connectors, and Dataverse
- Develop agent flows and logic
  • 1. Use Power Fx expressions and functions
  • 2. Create and modify conversation flows
  • 3. Implement conditional logic and branching
  • 4. Design adaptive cards and user interfaces

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q47-Q52):

NEW QUESTION # 47
Drag and Drop Question
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does NOT have APIs.
To meet the business needs, the solution must meet the following requirements:
- The agent must interact with the application's UI.
- The execution must run on supported infrastructure.
- The builder must be able to observe how the tool runs during
execution.
You need to configure the agent based on the requirements.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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: Enable Compute use tool for the agent.
To enable an agent in Microsoft Copilot Studio to interact with a legacy application's UI, you must configure and add the Computer Use capability.
Box 2: Use a platform-hosted execution environment.
In Microsoft Copilot Studio, you should configure the agent to use a platform-hosted execution environment to automate tasks on legacy desktop applications without APIs.
Box 3: Monitor run details in the agent runtime view.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use


NEW QUESTION # 48
A team is preparing to manage agents in Copilot Studio by using ALM from Power Platform.
A solution must be created before agents and configuration of assets can be managed through ALM.
You need to create a solution that can contain agents and related assets.
Which three actions should you perform in order? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:


NEW QUESTION # 49
A company wants to use content from a non-Microsoft enterprise knowledge base to ground agent responses.
To meet the business needs, the knowledge source must meet the following requirements:
Support grounding from indexed data.
Use existing access controls from the source system.
Support read-only operations.
You need to determine the correct behavior to meet the requirements.
Which behavior meets each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 50
Hotspot Question
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
The tests provide the following 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 provide a conclusion based on the evaluation results.
Which conclusions should you make? 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 testing criteria in Microsoft Copilot Studio, the outcome described directly measures the Pass or fail status of your tests.
Pass or fail status: This is the primary conclusion. Microsoft Copilot Studio Agent Evaluation uses structured methods (such as Exact Match, Similarity, or Compare Meaning) to objectively check if your agent met or missed the expected responses in your test set.
Box 2: Consistent outcomes
The conclusion to make from this is Consistent outcomes.
When evaluation test cases fail repeatedly across several runs, it indicates a stable, reproducible issue with the agent's behavior rather than random variability. Because the agent produces the same failure under the same test conditions, you have consistent outcomes.
Box 3: Expected and generated response
From the multiple evaluation tests in Microsoft Copilot Studio, the primary conclusion you can make is regarding the expected and generated responses.
This specific test output allows you to directly assess the alignment between what the AI was anticipated to say (the expected response) and what it actually produced (the generated response). By contrasting these, you can analyze semantic similarity, intent, and overall quality.
Reference:
https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/how-to-evaluate-ai-agents/


NEW QUESTION # 51
An agent needs to display a rich, interactive form (with dropdowns and buttons) to collect structured input from the user in Microsoft Teams. What should you use?

Answer: D

Explanation:
Adaptive cards render structured, interactive UI elements (inputs, buttons, choice sets) consistently across supported channels such as Teams and the web chat.


NEW QUESTION # 52
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