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Microsoft AB-620 Exam Syllabus Topics:

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

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

Drag and Drop Question
A company wants to extend an agent in Copilot Studio by calling an external REST API to retrieve and update data.
To meet the business needs, the REST API must be added following a correct dependency order.
You need to add a REST API to the agent so it can be invoked during conversations.
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: Add the REST API tool.
In Copilot Studio you start from Tools → Add a tool → New tool → REST API. Nothing else can be configured until the tool object exists in the agent.
Step 2: Configure the API endpoint details.
Supply the base URL, path, HTTP method (GET/POST for "retrieve and update data"), parameters, and request/response schema. This defines what is being called and must come before securing it.
Step 3: Configure authentication for the API
Choose the auth type (API key, OAuth 2.0, none) and its connection details. Auth is bound to the defined endpoint, so it logically follows endpoint definition - you can't attach credentials to a call that hasn't been described yet.
Step 4: Test the API configuration
Validation is always last. Testing requires a complete, authenticated request; only after the tool succeeds in test do you add it to a topic or let the agent invoke it generatively.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
https://learn.microsoft.com/en-us/training/modules/take-action-external-systems-connector-rest-api-tools-copilot-studio/5-add-rest-api-tool

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

A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets 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. Select an approved model from the Microsoft Foundry model catalog in the configuration that is used for prompt-driven response generation.
  • B. Configure Azure AI Search as the grounding source so the approved model requirement is enforced during response generation.
  • C. Ensure the reusable instruction template is the one applied to the agent that generates the structured response.
  • D. Add a line to the instruction template that requires the agent to use only approved models when generating responses.
  • E. Publish the agent so that the model used by prompt-driven responses is updated automatically.
  • F. Enable citations so generated responses can be traced and comply with governance requirements.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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

A company uses multiple Copilot Studio agents that perform specialized tasks.
You need to configure a Copilot Studio agent in your environment to connect to an external agent.
What should you do?

  • A. Upload documentation about the target agent for referencing.
  • B. Provide A2A endpoint information for the target agent.
  • C. Enable generative answers to call the other agent.
  • D. Add a Power Platform connector tool that calls the other agent.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

Drag and Drop Question
A company is building a Copilot Studio solution that must answer policy questions, retrieve operational metrics from structured data, and execute authenticated updates in backend systems.
The company decides to use multiple specialized agents rather than a single monolithic agent.
Custom agents for each action already exist.
To meet the business needs, the solution must meet the following requirements:
- The solution must retrieve up to date metrics from structured data.
- The solution must answer policy questions using curated knowledge.
- The solution must execute authenticated updates during conversations.
You need to select the appropriate agent design for each requirement.
Which approach should you use 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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Delegate the request to a tools-first agent
To retrieve up-to-date operational metrics from structured data in a multi-agent Copilot Studio architecture, you should configure the parent system to delegate the request to a tools-first agent.
Specialized Actions: In Copilot Studio, custom connectors and APIs that query or update structured data are configured as tools.
Dynamic Execution: A tools-first agent is specifically designed to evaluate the user's intent, select the correct authenticated API/connector (the tool), and pass parameters to retrieve real-time data.
Delegation Overlap: Knowledge-focused agents are optimized for RAG (retrieval-augmented generation) over static, unstructured files/documents rather than dynamic operational metrics.
Box 2: Delegate the request to a knowledge-focused agent.
To meet the requirement of answering policy questions using curated knowledge within a multi- agent Copilot Studio solution, you should delegate the request to a knowledge-focused agent.
Box 3: Delegate the request to a tools-first agent
To execute authenticated updates and actions in backend systems, you should delegate the request to a tools-first agent in Copilot Studio. While other specialized agents handle document synthesis or data analysis, a tools-first agent is configured to process API-based actions and plugins with proper end-user authentication.
In multi-agent architecture within Microsoft Copilot Studio, agents are typically categorized by their core operational focus. A tools-first agent is explicitly designed to prioritize taking specific actions-such as executing backend APIs, running plugins, or triggering workflows-making it the designated agent type for processing transactional and authenticated system updates.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/multi-agent-patterns

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