Microsoft AB-620 real exam prep : Designing and Building Integrated AI Agent Solutions in Copilot Studio

  • Exam Code: AB-620
  • Exam Name: Designing and Building Integrated AI Agent Solutions in Copilot Studio
  • Updated: Sep 14, 2026
  • Q&As: 133 Questions and Answers

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

Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions:

Question #1

Hotspot Question
A company uses an agent that invokes an agent flow to exchange information during a conversation.
The company requires that the agent send data into the flow and receive structured results back from the same flow run. To support this business need, the flow must be configured to do the following:
- Capture the data provided by the agent.
- Return data results to the agent.
You need to configure the flow so that it can exchange data with the agent.
What should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Add a text input parameter
To allow a Copilot Studio agent to pass data into a flow and receive structured results back, you must configure a Power Automate flow triggered by the "Run a flow from Copilot" trigger with custom input variables, and concluding with the "Respond to Copilot" action containing structured output parameters.
Box 2: Add a text output parameter
To return structured results from an agent flow to your agent in Microsoft Copilot Studio, you should configure the "Respond to the agent" action in your flow with an output parameter.
In Microsoft Copilot Studio, when a topic or bot calls a Power Automate flow, data is sent into the flow via input parameters. To pass data, objects, or structured results back to the copilot during the exact same flow run, you must explicitly define one or more output parameters (such as a text, number, or boolean output) in the "Return value(s) to Power Virtual Agents/Copilot Studio" final step of the flow.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-use-flow

Question #2

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.
NOTE: Each correct selection is worth one point.

  • A. Inspect automation execution details by using the agent runtime view.
  • B. Add the desktop application as a knowledge source so the agent can reference its UI structure.
  • C. Publish the agent so automation settings are applied at runtime.
  • D. Enable computer use for the agent so UI automation runs in the supported execution environment.
  • E. Configure a custom connector to simulate UI interactions through REST calls.
Reveal Solution  Discussion  0

Correct Answer: A,D  🗳️

Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).

Question #3

Drag and Drop Question
A company needs an agent to answer questions using live enterprise records and to execute a limited set of operations in the same system.
To meet the business needs, the agent must meet the following requirements:
- The agent must update a record using authenticated access.
- The agent must answer questions using live data at runtime.
- The agent must avoid indexing enterprise data into a search index.
You need to select the correct Power Platform connector approach for each requirement.
Which option should you use for each requirement? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Power Platform connector tool.
Performing active operations/actions (like updates, creates, or deletes) in external systems requires using connectors configured as Tools (actions/plugins) within Microsoft Copilot Studio.
Actions execute operations on behalf of the user or system with explicit authentication.
Box 2: Power Platform connector for real-time knowledge.
Adding a Power Platform connector directly as a real-time knowledge source allows Copilot Studio to query external system APIs dynamically at runtime to retrieve live data for answering queries.
Box 3: Power Platform connector for real-time knowledge.
Unlike Graph connectors or standard knowledge indexing (which preprocesses and stores data into a search index), real-time knowledge queries data on-the-fly via API calls without ingesting or pre-indexing the source records into a separate search index.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector

Question #4

Drag and Drop Question
A team has deployed an agent in Copilot Studio and needs to evaluate whether the agent is meeting its intended goals before expanding usage to a broader audience.
The team must evaluate agent performance using a structured and repeatable approach that produces actionable insights.
You need to select and apply an appropriate evaluation method by performing the required actions in the correct order.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Step 1: Define the success criteria and evaluation objectives
You must always start by establishing what "success" looks like and what you are trying to measure. Without clear goals, you cannot choose the right metrics.
Step 2: Select the evaluation method and metrics aligned to the criteria Once goals are set, you determine how to measure them (e.g., using automated tests, human reviewers, or user satisfaction scores) and define specific key performance indicators (KPIs).
Step 3: Collect agent interaction data and evaluation signals
After setting up your metrics, you run the evaluation by gathering conversational logs, user feedback, and system performance telemetry during agent interactions.
Step 4: Review evaluation results and identify improvement opportunities Finally, you analyze the gathered data against your original criteria to pinpoint bottlenecks, conversational failures, or gaps, allowing you to iterate and improve the agent.

Question #5

Drag and Drop Question
A company uses an agent in Copilot Studio in production and requires centralized monitoring for operational visibility and troubleshooting.
The team decides to use Application Insights as the monitoring solution.
An agent activity is not included in the monitoring data.
You need to enable monitoring the agent by using Application Insights.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Step 1: Create or identify the Application Insights destination for telemetry You need an active Azure Application Insights resource.
You must copy its Connection String or Instrumentation Key.
Step 2: Configure which monitoring destination the agent uses
Paste the copied connection string into the agent's advanced settings.
Step 3: Enable monitoring for the agent
Toggle the monitoring feature to "On" within the agent's configuration panel.
Step 4: Publish the agent so the monitoring configuration takes effect
Changes do not apply to production until the agent is published.
Publishing pushes the telemetry setup to the live environment.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-bot-framework-composer-capture-telemetry

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