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Microsoft AB-620 Exam Syllabus Topics:

Section	Weight	Objectives
Plan and configure agent solutions	30–35%	- Plan an agent solution 1. Identify business requirements and use cases 2. Define responsible AI and governance strategy 3. Evaluate security, compliance, and data privacy considerations 4. Plan channels and deployment options - Configure agent foundations 1. Design agent identity, personality, and instructions 2. Configure knowledge sources and data connections 3. Set up environment variables and configuration settings 4. Define topics, triggers, and conversation flows
Build and extend agents in Copilot Studio	40–45%	- Implement advanced capabilities 1. Configure retrieval-augmented generation (RAG) 2. Implement computer-use and advanced action agents 3. Add tools, actions, and automation 4. Customize models and prompt engineering - Develop agent flows and logic 1. Create and modify conversation flows 2. Design adaptive cards and user interfaces 3. Use Power Fx expressions and functions 4. Implement conditional logic and branching - Integrate with services and systems 1. Connect to Microsoft 365, Azure, and external enterprise systems 2. Implement multi-agent solutions and orchestration 3. Integrate with Microsoft Foundry and MCP servers 4. Connect to APIs, custom connectors, and Dataverse
Test, deploy, and manage agents	20–25%	- Deploy and manage agent lifecycle 1. Update, version, and retire agents 2. Prepare solutions for deployment 3. Monitor usage, performance, and health 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

Section

Weight

Objectives

Plan and configure agent solutions

30–35%

- Plan an agent solution

1. Identify business requirements and use cases
2. Define responsible AI and governance strategy
3. Evaluate security, compliance, and data privacy considerations
4. Plan channels and deployment options

- Configure agent foundations

1. Design agent identity, personality, and instructions
2. Configure knowledge sources and data connections
3. Set up environment variables and configuration settings
4. Define topics, triggers, and conversation flows

Build and extend agents in Copilot Studio

40–45%

- Implement advanced capabilities

1. Configure retrieval-augmented generation (RAG)
2. Implement computer-use and advanced action agents
3. Add tools, actions, and automation
4. Customize models and prompt engineering

- Develop agent flows and logic

1. Create and modify conversation flows
2. Design adaptive cards and user interfaces
3. Use Power Fx expressions and functions
4. Implement conditional logic and branching

- Integrate with services and systems

1. Connect to Microsoft 365, Azure, and external enterprise systems
2. Implement multi-agent solutions and orchestration
3. Integrate with Microsoft Foundry and MCP servers
4. Connect to APIs, custom connectors, and Dataverse

Test, deploy, and manage agents

20–25%

- Deploy and manage agent lifecycle

1. Update, version, and retire agents
2. Prepare solutions for deployment
3. Monitor usage, performance, and health
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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q80-Q85):

NEW QUESTION # 80
An agent calls a flow that intermittently produces unexpected results during execution.
The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Check the Error column in the Activity tab.
B. Update the flow trigger definition.
C. Review flow analytics summary.
D. Review flow run history.
E. Increase the connector timeout.
F. Inspect failed run details.

Answer: A,F

Explanation:
[A]
To diagnose the root cause of intermittent, unexpected results and inconsistent behavior in a Copilot agent flow, the correct step is to inspect failed run details.
Selecting a specific failed run from the history allows you to view the exact inputs, outputs, and error messages for each action within that specific execution. This is the only way to pinpoint exactly why a flow intermittently produces unexpected data or behaves inconsistently during a precise moment in time.
[C]
Checking the Activity tab in Microsoft Copilot Studio is a critical diagnostic step. It lets you trace exact interactions, see the decisions the AI made, and check for specific error details to determine why the flow execution failed or behaved inconsistently.
Reference:
https://community.powerplatform.com/forums/thread/details/?threadid=09732bfd-2c63-f011-bec2-6045bdda2f4f
https://community.powerplatform.com/forums/thread/details/?threadid=ac8bc7a2-86c9-f011-bbd3-000d3a184f11

NEW QUESTION # 81
A team has an existing agent in Copilot Studio and must move it to a different target location without rebuilding the agent. Some builders use Copilot Studio in the web app, while others use Copilot Studio in Microsoft Teams.
You need a supported approach to move the existing agent to the target location by using ALM practices. The solution must avoid rebuilding the agent.
What should you do?

A. Duplicate the agent in the source and manually recreate the changes in the target to avoid solution dependencies.
B. Create a custom solution, add the existing agent to the solution, export the solution containing the agent, and import the solution into the target environment.
C. Configure pipeline settings first and rely on pipelines to discover and package the agent automatically without adding it to a solution.
D. Remove agent components directly from the solution so that export and import will succeed.

Answer: B

Explanation:
Microsoft Copilot Studio uses Power Platform solutions as the supported packaging and transport mechanism for application lifecycle management. Because the agent already exists, the correct process is to create a custom solution in the source environment and add the existing agent to that solution. The solution captures the agent and its dependent components so they can be exported as a package and imported into the target environment. This avoids rebuilding topics, variables, tools, and other agent configuration manually.
Power Platform pipelines can automate deployment after the agent has been packaged, but a pipeline does not independently discover and package an agent that has not been added to a solution. Consequently, option A omits a required dependency. Manually duplicating the agent, as proposed in option C, is not a controlled ALM process and introduces configuration drift between environments.
Option D is also incorrect. Agent topics and related components should not be removed directly from a solution to prepare an export. Microsoft warns that deleting or manipulating dependent agent components independently can create missing dependencies and cause export or import failures.
After import, environment-specific items-such as authentication, connections, environment-variable values, and channels-may require verification before the agent is published in the target environment. Relevant study-guide areas are Manage solutions , Export and import agents , and Implement ALM . See Export and import agents using solutions .

NEW QUESTION # 82
A company configures an agent flow that interacts with multiple systems to complete user requests.
The company must integrate external services, retrieve data, and notify users as part of the same automated flow run. To support this scenario, the agent flow must be able to do the following:
Call an external API.
Retrieve stored data from a supported internal data source.
Send a Teams message.
You need to select a connector or action type for each requirement.
What should you use? To answer, move the appropriate connectors or actions to the correct requirements.
You may use each connector or action 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:
* Call an external API # Make an HTTPS request
* Retrieve stored data from a supported internal data source # Add a standard connector
* Send a Teams message # Add a standard connector
The HTTP action is appropriate for calling an external REST API directly. Supported internal systems should be accessed through their available Power Platform connectors. The Microsoft Teams connector is also a standard connector and provides actions such as Post message in a chat or channel . Because selections may be reused, Add a standard connector applies to both the internal-data and Teams requirements.

NEW QUESTION # 83
Drag and Drop Question
A company is building an agent topic in Copilot Studio. The agent topic uses a generative answers node to respond to user questions based on authorized knowledge sources.
To meet the business needs, the generative answers node must meet the following requirements:
- Use the user's message in the generative answers node.
- Scope the topic node to query only designated data.
- Restrict responses to approved enterprise data.
You need to configure the generative answers node to meet the requirements.
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: Select the Activity.Text in the Input field
To use the user's message inside a generative answers node in Microsoft Copilot Studio, map the node's Input field to the System.Activity.Text system variable. This variable captures the exact text of the user's most recent message or trigger phrase.
Box 2: Select Search only selected sources.
To scope a Generative Answers node to query only designated data within a specific topic in Microsoft Copilot Studio, you must use the "Search only selected sources" setting within the node's properties and isolate your knowledge base.
Box 3: Clear Allow the AI to use its own general knowledge
You configure this correctly by unchecking/clearing the "Allow the AI to use its own general knowledge" option.
When configuring a Create generative answers node in Microsoft Copilot Studio, the system handles external versus internal knowledge sources based on specific toggles:
Preventing Hallucinations: Leaving "Allow the AI to use its own general knowledge" enabled allows the large language model (LLM) to fall back on its public training data (e.g., ChatGPT data) when it cannot find answers in your custom sources.
Strict Enterprise Grounding: Turning this setting OFF explicitly mandates that the agent uses only the authorized enterprise repositories (like SharePoint sites, uploaded files, or custom databases) attached to your node or agent. If an answer isn't in those specific sources, the node stops and hands the query off to your fallback or error-handling flows instead of guessing.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
https://learn.microsoft.com/en-us/answers/questions/5666256/generative-answers-node-search-only-selected-sourc

NEW QUESTION # 84
An agent in Copilot Studio already exists in a development environment.
You need to prepare the agent so it can be moved to a production environment using the supported solution-based approach.
You need to create an exportable package that contains the existing agent.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Export the unmanaged solution that contains the agent.
B. Convert the solution to a managed solution so it can be exported.
C. Remove agent topics directly from the solution to prevent export errors.
D. Publish the agent to a channel and export the channel configuration.
E. Create a custom solution and add the existing agent to the solution.

Answer: A,E

Explanation:
Agents authored in Copilot Studio land in the Common Data Service Default Solution, which can't be exported. The supported ALM path is to create your own (unmanaged) solution in the dev environment and add the existing agent to it, along with its dependencies (topics, custom connectors, flows, environment variables, connection references).
Exporting produces the deployable package (.zip). Dev environments hold the unmanaged source solution, and the export step is where you generate the package - choosing managed output at export time when the target is production.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-import-export

NEW QUESTION # 85
......

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