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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q37-Q42):

NEW QUESTION # 37
Drag and Drop Question
A team is preparing a test set to evaluate an agent in Copilot Studio before expanding access to additional users.
The test set must support consistent evaluation across repeated runs and focus on the agent's most important behaviors.
You need to create a test set that enables repeatable and meaningful evaluation.
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.

Answer:

Explanation:

Explanation:
To establish a repeatable and meaningful evaluation in Microsoft Copilot Studio, you should perform the actions in the following logical order:
Step 1: Identify the high-value conversational intents the agent must handle Focus first on the core business values and critical user goals.
Pinpoint exactly what your agent needs to achieve.
Define the core capabilities (e.g., knowledge base lookups, specific topic flows) the agent must master before expanding access.
Step 2: Author representative user prompts that trigger the identified intents Write various realistic phrases that users will likely use to trigger those core intents.
Step 3: Define the expected outcomes and success criteria for each interaction.
Establish what a correct agent response looks like for each authored prompt.
Step 4: Baseline the test set to ensure deterministic evaluation across repeatable runs.
Lock in your test cases and expected outputs to measure future changes accurately.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-create


NEW QUESTION # 38
Drag and Drop Question
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:

Explanation:
Step 1: Open the Solutions area in Copilot Studio
To manage or build custom solutions natively, you must first navigate to the Solutions tab using the left sidebar menu (or via the ellipses menu) within the Copilot Studio portal.
Step 2: Define the solution name and publisher
When creating a new solution, you must provide critical metadata, including a unique display name and a Publisher. Assigning a custom publisher enforces a specific prefix on all components, identifying ownership and avoiding naming collisions.
Step 3: Save the solution container
Once the solution details and publisher configuration are set, you must click Create or Save to generate the unmanaged solution container within the environment, preparing it to hold your agents and assets Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-overview


NEW QUESTION # 39
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?

Answer: B

Explanation:
You should apply a standardized evaluation matrix. This method uses reusable test sets and automated scoring to match your fixed interactions and baseline requirements before live user rollout.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-overview


NEW QUESTION # 40
Hotspot Question
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:

Explanation:
Box 1: Retrieve indexed content
To ground a Copilot agent in an external enterprise knowledge base using indexed data, you need to configure Retrieve indexed content.
This process relies on Retrieval-Augmented Generation (RAG). Instead of relying on a pre- trained model or executing live API queries during the conversation, the system references a periodically updated, synchronized index of your knowledge base.
Box 2: Respect existing permissions.
To ensure that the Copilot agent responses respect the existing access controls and source-level permissions of your non-Microsoft enterprise knowledge base, you must configure Respect existing permissions.
Respect existing permissions: This setting ensures the agent operates on a user-delegated permission model. The Copilot agent dynamically trims and limits search results at runtime, meaning the end-user will only receive answers derived from data they explicitly have authorization to view in the external source system.
Incorrect:
Respect existing permissions from agent authors: This incorrect option would ground responses based entirely on the author's access level during the creation process, potentially leaking sensitive data to unauthorized end-users.
Box 3: Prevent transactional updates
To ground Microsoft Copilot agent responses using a non-Microsoft enterprise knowledge base with read-only operations, you must configure Prevent transactional updates.
This configuration ensures that the Copilot agent can only fetch, read, and query data from your enterprise knowledge base. It explicitly blocks any modifications, insertions, or deletions, adhering strictly to your read-only requirement and protecting your source data from accidental alterations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors


NEW QUESTION # 41
You need an agent built in Copilot Studio to invoke tools hosted on an external server using a standardized protocol that exposes tool schemas and capabilities for consumption by AI models.
Which protocol should you use?

Answer: A

Explanation:
MCP is the standardized protocol that lets an agent discover and call external tools/resources exposed by an MCP server, using a consistent schema the model can reason over.


NEW QUESTION # 42
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