만약 아직도 우리를 선택할지에 대하여 망설이고 있다면. 우선은 우리 사이트에서 DumpTOP가 제공하는 무료인 일부 문제와 답을 다운하여 체험해보시고 결정을 내리시길 바랍니다.그러면 우리의 덤프에 믿음이;갈 것이고,우리 또한 우리의 문제와 답들은 무조건 100%통과 율로 아주 고득점으로Microsoft인증AB-620험을 패스하실 수 있습니다,
| Section | Objectives |
|---|---|
| Topic 1: Governance, Security, and Compliance | - Data protection and responsible AI practices - Managing access control and authentication - Environment management in Power Platform |
| Topic 2: Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| Topic 3: Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions |
| Topic 5: Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components |
Microsoft AB-620 덤프에 대한 자신감이 어디서 시작된것이냐고 물으신다면Microsoft AB-620덤프를 구매하여 시험을 패스한 분들의 희소식에서 온다고 답해드리고 싶습니다. 저희Microsoft AB-620덤프는 자주 업데이트되고 오래된 문제는 바로 삭제해버리고 최신 문제들을 추가하여 고객님께 가장 정확한 덤프를 제공해드릴수 있도록 하고 있습니다.
질문 # 102
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 # 103
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.
정답：
설명：
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 .
질문 # 104
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON responses and requires authentication.
To meet the business needs, the solution must meet the following requirements:
* The agent calls a REST API during a conversation.
* The REST API call runs with proper authentication.
* The REST API response is available to the topic at runtime.
You need to configure the REST API 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.
정답：
설명：
Explanation:
Call the API during the conversation # Configure a REST action and call it from the topic; Run with authentication # Build an authenticated connection for the API; Make the response available at runtime # Store the API response in a topic variable.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The REST action is the executable component that issues the request when the topic reaches that node. An authenticated connection supplies the credential or token handling required by the endpoint; embedding secrets directly in a topic would be insecure and difficult to manage across environments. The returned JSON must then be assigned to a topic variable so downstream nodes can inspect fields, make decisions, format a response, or pass the value to another tool. Treating the API as indexed knowledge would be inappropriate because the requirement is a live runtime call, not search over a periodically indexed corpus. The builder should define the HTTP operation, endpoint, inputs, response schema, and output variable precisely. Authentication should use the narrowest appropriate identity model-user-delegated when actions must be attributable to the user, or maker
/service credentials only when the business design permits shared access. Error and timeout paths should be explicit so malformed JSON, authorization failures, and unavailable services do not produce silent or misleading responses. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Add REST APIs to an agent.
질문 # 105
You need to prevent an agent from using connectors that could send data to non-approved cloud services outside your organization. What should you configure?
정답：B
설명：
DLP policies classify connectors as business or non-business and block data flow between them, preventing an agent from combining approved and unapproved connectors in the same flow.
질문 # 106
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.
정답：
설명：
질문 # 107
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Microsoft AB-620 덤프구매전 한국어 온라인상담서비스부터 구매후 덤프 무료 업데이트버전제공 , Microsoft AB-620시험불합격시 덤프비용 전액환불 혹은 다른 과목으로 교환 등 저희는 구매전부터 구매후까지 철저한 서비스를 제공해드립니다. Microsoft AB-620 덤프는 인기덤프인데 지금까지 덤프를 구매한후 환불신청하신 분은 아직 없었습니다.
AB-620최고품질 덤프자료: https://www.dumptop.com/Microsoft/AB-620-dump.html