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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Test, deploy, and manage agents20–25%- Deploy and manage agent lifecycle
  • 1. Prepare solutions for deployment
  • 2. Monitor usage, performance, and health
  • 3. Update, version, and retire agents
  • 4. Implement application lifecycle management (ALM)
- Test and validate agent performance
  • 1. Create test cases and evaluation datasets
  • 2. Measure accuracy, relevance, and safety
  • 3. Debug and resolve errors or unexpected behavior
Topic 2: 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. Create and modify conversation flows
  • 4. Implement conditional logic and branching
- 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
- Implement advanced capabilities
  • 1. Implement computer-use and advanced action agents
  • 2. Customize models and prompt engineering
  • 3. Add tools, actions, and automation
  • 4. Configure retrieval-augmented generation (RAG)
Topic 3: Plan and configure agent solutions30–35%- Plan an agent solution
  • 1. Plan channels and deployment options
  • 2. Identify business requirements and use cases
  • 3. Evaluate security, compliance, and data privacy considerations
  • 4. Define responsible AI and governance strategy
- Configure agent foundations
  • 1. Define topics, triggers, and conversation flows
  • 2. Configure knowledge sources and data connections
  • 3. Set up environment variables and configuration settings
  • 4. Design agent identity, personality, and instructions

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

1. Drag and Drop Question
You run the same fixed test set three times in Copilot Studio.
During evaluation, you observe the following:
- The same interaction fails in all three runs.
- Score values range from 0.58 to 0.61.
- The reasoning states that the response partially matches the expected answer.
- The knowledge source that is used is internal documentation.
- No tools are invoked.
You need to determine which conclusions are supported based on the evaluation results.
Which conclusions should you make? To answer, move the appropriate conclusions to the correct evaluation results. You may use each conclusion 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.


2. An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

A) Add the REST API as a knowledge source so the agent can query it during conversations.
B) Create a topic variable and use a Formula to parse the API endpoint string.
C) Configure an HTTP action and invoke it from a topic during the conversation.
D) Add the REST API as a tool and call it either by using a topic or agent instruction.
E) Enable generative answers and rely on the model to fetch the REST API data automatically.
F) Create a global variable to store the API URL and call it using a Redirect node.


3. Drag and Drop Question
A company has an existing custom connector that is approved and available in the environment.
A builder wants an agent in Copilot Studio to call the connector during a conversation to retrieve information from an internal system.
To meet the business needs, the solution must meet the following requirements:
- The agent must make the connector available for topic steps.
- The agent must run the connector call with a valid connection.
- The connector call must receive the required input values at runtime.
You need to configure the agent so the custom connector can be used as a tool.
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.


4. An agent's flow-based tool intermittently fails when passed nested JSON objects as input parameters. What is the most likely cause?

A) The agent has too many topics
B) The environment variable is misnamed
C) The flow trigger doesn't support the data type/schema being passed
D) The knowledge source is offline


5. An agent must escalate to a live human agent when it cannot resolve a customer issue, and hand off full conversation context. Which node should you add to the topic?

A) Escalate to a live agent (handoff) node
B) Adaptive card node
C) Redirect to another topic node
D) End of conversation node


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: C,D
Question # 3
Answer: Only visible for members
Question # 4
Answer: C
Question # 5
Answer: A

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