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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test, deploy, and manage agents20โ€“25%- 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
- Deploy and manage agent lifecycle
  • 1. Monitor usage, performance, and health
  • 2. Implement application lifecycle management (ALM)
  • 3. Update, version, and retire agents
  • 4. Prepare solutions for deployment
Plan and configure agent solutions30โ€“35%- Plan an agent solution
  • 1. Identify business requirements and use cases
  • 2. Define responsible AI and governance strategy
  • 3. Plan channels and deployment options
  • 4. Evaluate security, compliance, and data privacy considerations
- Configure agent foundations
  • 1. Configure knowledge sources and data connections
  • 2. Define topics, triggers, and conversation flows
  • 3. Set up environment variables and configuration settings
  • 4. Design agent identity, personality, and instructions
Build and extend agents in Copilot Studio40โ€“45%- Implement advanced capabilities
  • 1. Customize models and prompt engineering
  • 2. Implement computer-use and advanced action agents
  • 3. Configure retrieval-augmented generation (RAG)
  • 4. Add tools, actions, and automation
- Integrate with services and systems
  • 1. Implement multi-agent solutions and orchestration
  • 2. Connect to Microsoft 365, Azure, and external enterprise systems
  • 3. Connect to APIs, custom connectors, and Dataverse
  • 4. Integrate with Microsoft Foundry and MCP servers
- Develop agent flows and logic
  • 1. Create and modify conversation flows
  • 2. Implement conditional logic and branching
  • 3. Use Power Fx expressions and functions
  • 4. Design adaptive cards and user interfaces

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q33-Q38):

NEW QUESTION # 33
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.

Answer:

Explanation:

Explanation:
Box 1: Add the connector as a tool in the agent.
To make an approved custom connector available for topic steps within Copilot Studio, you must add the connector as a tool in the agent.
In Copilot Studio, actions and custom connectors must be explicitly registered as "Tools" within the agent's capabilities before they can be recognized or called by topics.
Box 2: Create or reuse a connection for the connector
The appropriate action is to create or reuse an existing connection for the custom connector.
Because the connector is already approved and available in your environment, you can simply select it from your tools and link the predefined connection Use connectors in Copilot Studio agents.
Box 3: Map topic variables to the tool inputs
The correct configuration action is to Map topic variables to the tool inputs.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-connectors


NEW QUESTION # 34
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
Must use an executive summary format.
Must apply only within a specific topic.
Must continue using configured knowledge sources.
Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Does the solution meet the goal?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Removing the generative answers node eliminates the component that searches the configured knowledge sources and produces the grounded topic response. A standalone custom prompt can format or transform supplied input, but it does not automatically inherit the topic's selected knowledge sources or reproduce the node's retrieval behavior. The resulting answer could therefore have the requested executive-summary style while failing the grounding requirement. The correct design retains the generative answers node and applies topic-scoped custom instructions to its response, or captures the grounded output in a variable and sends that content through a carefully configured formatting prompt. General knowledge should remain disabled when the topic must use only approved enterprise sources. Connector security and data policies continue to govern the actual source connections and cannot be replaced by prompt text. The proposed removal is consequently not a valid solution. Validation should inspect the retrieved sources, generated answer, final format, and behavior when no authorized source returns relevant content. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom prompts.


NEW QUESTION # 35
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
An agent uses a flow that calls an external service which can occasionally fail or time out.
When a failure occurs, the agent must meet the following requirements:
- Must not terminate silently.
- Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Solution: Retry the failing action without handling failure.
Does the solution meet the goal?

Answer: A

Explanation:
Correct:
* Configure run after conditions for failure paths.
You should configure the "Run after" conditions in Power Automate (the underlying flow engine) to handle these failures in a controlled and predictable way.
By default, a cloud flow step only runs if the previous step is successful. If your external service fails or times out, all subsequent steps will normally skip, causing the flow to fail silently from the perspective of the Copilot Studio agent.
How to Configure the Flow for Failure Handling
To meet your requirements, you need to create a parallel or sequential failure path using the following steps:
1. Add your Notification Action
2. Configure "Run After" Settings
Incorrect:
* Retry the failing action without handling failure.
* Send a notification with relevant error details.
Reference:
https://www.matthewdevaney.com/3-power-automate-error-handling-patterns-you-must-know/


NEW QUESTION # 36
A company must enable an agent in Copilot Studio to execute operations exposed by an external MCP server.
The MCP server publishes callable tools and requires authentication.
The agent must be able to invoke MCP tools during conversations.
You need to configure MCP tools so the agent can execute MCP tool calls.
What should you do?

Answer: D

Explanation:
To best configure the Model Context Protocol (MCP) tools so the agent can successfully invoke operations, you should configure OAuth 2.0 authentication.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/mcp-add-existing-server-to-agent


NEW QUESTION # 37
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.

Answer: C,D

Explanation:
[A]
You must publish the agent to ensure that the updated model settings take effect and that all prompt-driven responses automatically transition to using the approved model across your connected channels.
Changing the generative AI model in Microsoft Copilot Studio modifies the configuration in the authoring canvas, but it does not instantly apply to live users. Publishing the agent pushes these metadata changes to production, ensuring data compliance and governance standards are met.
[E]
To ensure that prompt-driven responses are generated using an approved model while continuing to use your reusable instruction template, you must ensure the reusable instruction template is the one applied to the agent that generates the structured response (specifically by selecting the compliant model within the Copilot Studio agent's settings where the template is run).
Incorrect:
[Not C]
Large Language Models (LLMs) cannot see or change the infrastructure they are running on.
The reality: Adding a text instruction like "Use GPT-4" into a prompt template does not physically change the underlying model being utilized by Copilot Studio. If the agent is configured to use an unapproved model, it will continue to use that model to read your new instruction.
[Not D]
Grounding sources provide factual data, not model governance.
Azure AI Search acts as a Retrieval-Augmented Generation (RAG) data source to prevent hallucinations and provide internal documents to the agent. It does not dictate or enforce which underlying LLM orchestrates and generates the final response text.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-model-settings


NEW QUESTION # 38
......

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