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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test and Manage Agents20-25%- Monitor and manage agent solutions
  • 1. Manage deployments and environments
  • 2. Implement governance and security controls
  • 3. Use Power Platform pipelines and ALM processes
  • 4. Test and validate agent behavior
  • 5. Apply responsible AI practices
  • 6. Monitor agent flows and performance
Plan and Configure Agent Solutions30-35%- Plan agent solutions
  • 1. Plan identity strategy
  • 2. Plan channels and deployment
  • 3. Plan integration with enterprise systems
  • 4. Evaluate security and governance considerations
  • 5. Plan reusable agent components
  • 6. Design agents for internal or external audiences
  • 7. Plan responsible AI strategy
Integrate and Extend Agents in Copilot Studio40-45%- Integrate agents with enterprise systems
  • 1. Use connectors and custom connectors
  • 2. Integrate REST APIs and external services
  • 3. Integrate with Microsoft Foundry and Azure services
  • 4. Configure Azure AI Search and enterprise knowledge sources
  • 5. Implement Model Context Protocol (MCP)
- Build advanced agent solutions
  • 1. Create agent flows
  • 2. Implement human-in-the-loop workflows
  • 3. Design and implement multi-agent solutions
  • 4. Configure actions and tools
  • 5. Automate computer-use and orchestration scenarios

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AB-620 Übungsmaterialien & AB-620 Lernführung: Designing and Building Integrated AI Agent Solutions in Copilot Studio & AB-620 Lernguide

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio AB-620 Prüfungsfragen mit Lösungen (Q95-Q100):

95. Frage
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.

Antwort:

Begründung:


96. Frage
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.
A team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: To export, import, and manage agents between environments, you need to create and use a custom solution.
Does the solution meet the goal?

Antwort: B

Begründung:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm


97. Frage
Drag and Drop Question
A company uses a primary agent in Copilot Studio to handle user intake.
For some requests, the company wants the primary agent to delegate work to another Copilot Studio agent that already exists.
To meet the business needs, the solution must allow agents to perform the following on the connected agent:
- Must allow calls from other agents.
- Must allow agents to use the connected agent for collaboration.
- Must allow agents to invoke the connected agent in conversations.
You need to integrate the existing Copilot Studio agent with the connected agent.
Which setting 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.

Antwort:

Begründung:

Explanation:
Box 1: Publish the connected agent.
To allow a primary Copilot Studio agent to delegate work to an existing secondary agent, the secondary agent must be published. For an agent to accept calls and be selectable by other agents, you must enable its capability to be used as a connected agent.
Box 2: Add the connected agent.
Add the connected agent: This is the configuration action required within the primary agent. By navigating to your primary agent's build/agents panel and choosing to add a connected agent, you establish the relationship that allows the primary agent's orchestration runtime to dynamically invoke and delegate conversation tasks to it.
Box 3: Add the connected agent.
In Microsoft Copilot Studio's multi-agent architecture, a primary orchestrator agent routes tasks to independent sub-agents using the Connected agents capability. To make an existing agent available to your primary agent so the orchestrator can autonomously invoke it during conversations, you must go to the primary agent's build tab, navigate to the components panel, and choose to add a connected agent.
Incorrect:
Configure connections to the connected agent: While connections exist in Copilot Studio, they are used to securely authenticate external systems, APIs, or tools (such as SharePoint or Dataverse), rather than connecting another standalone conversational agent.
Add the connected agent as an indexed knowledge source: Knowledge sources are used for uploading files, documents, websites, or databases to ground the AI's general knowledge. They are not used for routing workflows to independent agents.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-copilot-studio-agent


98. Frage
Drag and Drop Question
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
- Users are able to trace each answer back to its source.
- The agent retrieves information from a centralized data index.
- Responses are generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
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.

Antwort:

Begründung:

Explanation:
Box 1: Instruct the agent to cite sources in knowledge settings
The specific behavior of how the agent presents that information-such as enforcing citations and tracing links back to the source documents-is controlled by the instructions and configurations within the agent's knowledge and conversation settings. You must explicitly configure the agent's prompt instructions or system settings to format the output with source citations so users can trace the answers.
Box 2: Configure Azure AI Search as the grounding data source
By adding Azure AI Search as a knowledge source Microsoft Copilot Studio enables the Retrieval-Augmented Generation (RAG) pattern. This ensures your generative AI model retrieves specific enterprise content from your centralized index and uses it to ground responses.
Box 3: Deploy a model in Foundry to an agent and connect to Copilot Studio Model Control: To strictly guarantee that an enterprise-approved foundation model (such as a specific Microsoft Foundry model) generates the response, you must manually deploy that specific model and link it to your agent.
Connection Workflow: Deploying the custom model in Azure AI Studio (formerly encompassing parts of Azure AI Foundry) and connecting it to Copilot Studio ensures the orchestration layer routes prompts directly to your certified LLM.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/ai-search


99. Frage
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 by 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.

Antwort: A,B


100. Frage
......

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