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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q63-Q68):

NEW QUESTION # 63
You need to implement tool usage in topics that meet the Blue Yonder design and governance requirements.
Which implementation method should you use for each requirement? To answer, move the appropriate implementation methods to the correct requirements. You may use each implementation method once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Requirement
Implementation method
Let the agent decide when to run a tool based on user input.
Enable generative orchestration.
Run a specific agent flow at a defined step in a topic.
Add a tool node.
Use a connector action to retrieve data during a conversation.
Add a tool node.
Generative orchestration is appropriate when the agent must independently determine whether a tool is relevant to the user's request. Copilot Studio evaluates the user's message, conversation context, and the tool' s name, description, inputs, and outputs before deciding whether to invoke it. Microsoft documentation confirms that generative orchestration allows an agent to choose tools based on their descriptions and the current user query.
When an operation must occur at a predetermined point in an authored topic, the operation should instead be inserted explicitly by using an Add a tool node. Selecting an agent flow from that node ensures that the flow executes at that exact position in the topic rather than being selected autonomously by the orchestrator.
The same node type is used when calling a connector action. From the topic canvas, the author selects Add a tool , chooses Connector , and then selects and configures the required connector operation. Adaptive Cards present interactive information, while Question nodes collect user input; neither directly invokes flows or connectors.
Relevant study-guide area: Plan and configure agent solutions # Configure topics # Add agent flows to a topic and Add tools to a topic . See Orchestrate agent behavior with generative AI , Add tools to custom agents , and Use connectors in Copilot Studio agents .


NEW QUESTION # 64
A company uses an agent flow that calls a connector action. The flow sends an administrative notification if the action fails or times out.
Administrators require the following configuration to help troubleshoot and manage failures:
- Handle failure and timeout outcomes explicitly.
- Continue execution after a failure is handled.
- Avoid retrying the failed action automatically.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,B

Explanation:
To handle failures and timeouts explicitly without automatic retries while ensuring the flow continues, take these two configuration steps in the Power Automate designer:
[D] Configure Run After settings on the notification/recovery step to trigger on "has failed" and
"has timed out" status options from the primary connector action.
[B] Scope Actions: Grouping your connector action and its immediate steps inside a Scope action allows you to centrally manage errors. You can set the subsequent administrative notification to run only if the entire Scope fails or times out. This satisfies the requirement to handle failure and timeout outcomes explicitly in a clean, predictable way Reference:
https://d365demystified.com/2022/01/20/try-catch-error-handling-using-scope-in-power-automate/


NEW QUESTION # 65
Drag and Drop Question
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does NOT have APIs.
To meet the business needs, the solution must meet the following requirements:
- The agent must interact with the application's UI.
- The execution must run on supported infrastructure.
- The builder must be able to observe how the tool runs during
execution.
You need to configure the agent based on the requirements.
Which setting should you configure for each requirement? To answer, move the appropriate settings to the correct requirements. You may use each setting 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: Enable Compute use tool for the agent.
To enable an agent in Microsoft Copilot Studio to interact with a legacy application's UI, you must configure and add the Computer Use capability.
Box 2: Use a platform-hosted execution environment.
In Microsoft Copilot Studio, you should configure the agent to use a platform-hosted execution environment to automate tasks on legacy desktop applications without APIs.
Box 3: Monitor run details in the agent runtime view.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use


NEW QUESTION # 66
A company is extending agents in Copilot Studio with both external capabilities and enterprise content access.
Some user requests require grounded answers, while other requests require executing actions.
To meet the business needs, the agent must meet the following requirements:
Ground answers using results from enterprise data.
Invoke callable functions exposed through a standardized tool interface.
Write an update to a system by using an authenticated action during the conversation.
You need to integrate the correct approach to meet the requirements.

Answer:

Explanation:

Explanation:
Ground answers from enterprise data # Add a Copilot connector knowledge source for indexed content; Invoke standardized callable functions # Connect to an MCP server and add its tools; Write an authenticated update # Add a Power Platform connector tool and call it from a topic.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: These requirements represent three different integration contracts. Indexed enterprise content is a retrieval problem, so a Copilot connector knowledge source should ground the generated answer in Microsoft Graph-indexed information while honoring the user ' s permissions. Callable functions published through the standardized Model Context Protocol belong behind an MCP server connection; once added, the agent can discover and invoke the server ' s tools. A write operation during a conversation is a transactional tool call. A Power Platform connector action invoked from the topic supplies the authenticated operation and exposes defined inputs and outputs. Dataverse tables can be used as knowledge, but that choice does not satisfy the broader indexed-enterprise requirement stated here. Likewise, using MCP for every requirement would blur read-only grounding and system updates, increasing the security and orchestration surface. Separating knowledge from actions also improves observability: retrieval sources can be evaluated for grounding quality, while tool calls can be audited for inputs, identity, outcome, and errors. Descriptions and parameter metadata should make each capability ' s scope unambiguous to the orchestrator. Study Guide alignment: Integrate and extend agents in Copilot Studio
> Connect to enterprise knowledge sources; Add tools to agents.


NEW QUESTION # 67
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: Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
Does the solution meet the goal?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A separate custom prompt tool that merely requests an executive-summary structure does not, by itself, guarantee that the existing generative answers node and its configured knowledge sources remain in the response path. Prompt tools have their own inputs, knowledge configuration, model settings, and completion behavior. If the tool is invoked independently, it can generate correctly formatted text without using the sources selected for the topic
' s generative answer, which violates a stated requirement. The safer design is to keep the generative answers node and apply topic-specific custom instructions or prompt modification to that node, or explicitly pass its grounded output into a downstream formatting prompt with a controlled contract. Connector security remains enforced by the underlying connections and data policies; wording in a prompt cannot override those controls.
Therefore, the proposed solution is incomplete and does not meet the goal as written. Testing should confirm not only the output format but also the sources used and the identity under which any connector retrieval occurred. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure advanced agent responses with custom prompts and custom knowledge sources.


NEW QUESTION # 68
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