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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q129-Q134):

NEW QUESTION # 129
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The company has the following requirements for the application:
The deployment workflow must follow a dependency driven sequence.
The agent must be published before configuration values are retrieved.
End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
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:


NEW QUESTION # 130
Drag and Drop Question
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The project requirements specify that the deployment workflow must follow a strict dependency- driven sequence.
- The agent must be published before configuration values are
retrieved.
- End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
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.

Answer:

Explanation:

Explanation:
The four steps that should be used to satisfy the strict dependency-driven sequence, in the correct order, are:
Step 1: Publish the agent
Step 2: Retrieve the current agent configuration values
Must happen after publishing per requirement 1.
Step 3: Implement the Microsoft 365 Agents SDK in the custom app by using the retrieved configuration Requires the configuration values retrieved in the previous step.
Step 4: Validate the end-to-end conversation workflow in a test environment Must occur after application implementation and before production deployment per requirement 2.


NEW QUESTION # 131
An agent in Copilot Studio is evaluated using a fixed test set and an automated evaluation method.
After running the evaluation, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?

Answer: A

Explanation:
This result means the outcomes successfully isolate which portions of the agent's functional scope require remediation.
When an automated evaluation yields perfectly consistent results-where the same three interactions fail every time and all others pass-it indicates that the evaluation environment is stable and free of random noise.
High Determinism: The agent behaves predictably under test conditions.
Eliminates Flakiness: You can rule out intermittent network errors or transient system glitches.
Specific Scope: The failures point directly to specific broken intents, missing data, or faulty logic pathways.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-results


NEW QUESTION # 132
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 # 133
An agent's flow-based tool intermittently fails when passed nested JSON objects as input parameters. What is the most likely cause?

Answer: A

Explanation:
Power Automate flow triggers used as agent tools generally expect flat, well-defined parameter schemas; complex nested objects often need to be flattened, serialized as a string, or parsed with a Parse JSON action inside the flow.


NEW QUESTION # 134
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