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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Topic 2: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
| Topic 3: Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
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질문 # 60
You need to add Fabrikam Inc. ' s MCP servers as a tool so the agent can perform the required operations during conversations.
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.
정답：
설명：
Explanation:
PartsOps per-user authentication # OAuth 2.0; WarrantyRules shared team credential # API key; Tool- selection context # Configure a server description that explains the MCP server ' s role.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The authentication choices must follow the identity requirements of each server. PartsOps performs attributable actions, including parts-request creation, so OAuth 2.0 is the appropriate mechanism for individual users to authorize access without sharing their credentials with the agent. That preserves user context and supports accountability for each transaction. WarrantyRules is explicitly read-only and uses a key shared by the agent team; it should therefore be configured with API-key authentication using the required header or query parameter. Applying the same authentication method to both servers would contradict the stated server designs. Authentication alone does not tell the orchestrator when a server is relevant. A concise, discriminating server description should identify PartsOps as the source for availability checks and parts- request creation and WarrantyRules as the source for warranty validation. Copilot Studio uses the names and descriptions of agents, topics, tools, and knowledge sources during generative orchestration. Accurate metadata reduces accidental calls, prevents the wrong server from handling a request, and makes the multi- agent plan more predictable during testing. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure MCP tools.
질문 # 61
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 must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be 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.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Requirement
Correct configuration
Users must be able to trace each answer back to its source.
Instruct the agent to cite sources in the knowledge settings.
The agent retrieves information from a centralized data index.
Configure Azure AI Search as the grounding data source.
Responses are generated by an enterprise-approved foundation model.
Deploy a model in Foundry to an agent and connect it to Copilot Studio.
Source citations provide traceability by connecting generated statements to the enterprise content used for grounding. Therefore, the agent's knowledge instructions should require citations. For Azure AI Search, this also requires a usable URL in the search index. Copilot Studio interprets metadata_storage_path, or another field containing a complete URL, as the citation target. Consequently, instructions alone cannot produce functional links if the index does not expose a valid source URL.
Azure AI Search should be configured as the grounding source because it provides centralized, indexed retrieval for enterprise content. During a conversation, the user's query is submitted to the configured search index, relevant passages are retrieved, and those passages become the grounding context for the generated response. Uploading documents directly to Copilot Studio would create a separate Dataverse-backed knowledge source and would bypass the required centralized index.
To satisfy organizational model governance, the approved foundation model must be deployed through Microsoft Foundry and associated with a Foundry agent that is connected to Copilot Studio. This ensures generation uses the approved model deployment rather than an unrelated default model.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Integrate agents with Azure # Configure generative answers by using Azure AI Search with Foundry . See Add Azure AI Search as a knowledge source and Connect to a Microsoft Foundry agent .
질문 # 62
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.
정답：A,B
설명：
First, create a custom solution in the development environment and add the existing agent by selecting Add existing # Agent # Agent . The solution acts as the application lifecycle management package that contains the agent and its dependent components. Required objects such as agent flows, environment variables, connection references, and custom connectors should also be included when applicable.
After the agent and its dependencies are included, export the solution from the development environment.
Microsoft's documented procedure starts from the list of unmanaged solutions and exports the solution containing the agent. During the export process, the maker can select the appropriate package type.
Production deployments commonly use a managed export, but the source development solution remains unmanaged; it does not need to be converted before export.
Removing topics directly from the solution is specifically discouraged because changing or removing agent components outside the standard Copilot Studio authoring interface can cause export or import failures.
Publishing the agent to a channel is also unrelated to creating a solution package. After the solution is imported into production, the imported agent must be configured, tested, and published in that environment.
Relevant study-guide area: Test and manage agents # Implement application lifecycle management for agents in Copilot Studio # Create a solution and add existing agents to a solution . See Export and import agents using solutions .
질문 # 63
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.
정답：A,C
설명：
To move a Copilot Studio agent to a production environment using a solution-based approach, you must create a custom unmanaged solution, add your existing agent [E] and its required objects to it, publish all customizations, and export the solution as a managed package [B] [.zip file].
Reference:
https://techcommunity.microsoft.com/blog/modernworkappconsult/how-to-export-an-agent-developed-in-copilot-studio/4391562
질문 # 64
A company requires an agent in Copilot Studio to answer questions using content stored in a third-party knowledge base system and reuse that content for knowledge grounding.
The agent must ground answers using indexed enterprise knowledge from a non-Microsoft system.
You need to choose the correct integration approach.
What should you use?
정답：A
설명：
Adding a Copilot connector is the correct approach to index and ground an agent using authorized non-Microsoft enterprise knowledge.
Integration and Configuration
Indexing data: Copilot connectors (formerly Microsoft Graph connectors) sync and index external data sources into Microsoft Graph.
Adding knowledge: Open your agent in Microsoft Copilot Studio, go to the Overview, Knowledge, or Properties page, and select Add knowledge.
Selecting the source: Choose your configured Copilot connector from the dialog menu and select Add to agent.
Key Benefits
Security: Respects source-level permissions so users only see content they are authorized to access.
Grounding: Reduces AI hallucinations by anchoring replies directly in trusted business data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors
질문 # 65
......
자신을 부단히 업그레이드하려면 많은 노력이 필요합니다. IT업종 종사자라면 국제승인 IT인증자격증을 취득하는것이 자신을 업그레이드하는것과 같습니다. Microsoft인증 AB-620시험을 패스하여 원하는 자격증을 취득하려면DumpTOP의Microsoft인증 AB-620덤프를 추천해드립니다. 하루빨리 덤프를 공부하여 자격증 부자가 되세요.
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