簡単になりたい場合は、AB-620信頼性の高い試験ガイドのバージョンを選択するのが難しいと感じる場合、PDFバージョンが適している可能性があります。 PDFバージョンは通常のファイルです。 多くの受験者は、AB-620信頼できる試験ガイドを紙に印刷してから読み書きすることに慣れています。 はい、それは静かで明確です。 また、不明な点がある場合は、他の人に簡単に質問したり話したりできます。 他の人は、それが通常は練習資料だと考えるかもしれません。 また、Microsoft AB-620信頼できる試験ガイドの多くのコピーを印刷して、他の人と共有することもできます。
| Section | Objectives |
|---|---|
| Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors |
| Governance, Security, and Compliance | - Environment management in Power Platform - Managing access control and authentication - Data protection and responsible AI practices |
| Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Monitoring performance and analytics - Iterative improvement and lifecycle management |
| Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
実際に、多くの受験者はAB-620試験に合格したいです。難しいですが、自分自身はより良いものになりたいので、やはりチャレンジしたいです。そのような場合、AB-620学習教材のようないい資料が必要です。AB-620学習教材を利用すれば、あなたはAB-620試験を簡単にパスできます。
質問 # 41
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: Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Does the solution meet the goal?
正解:A
解説:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Removing the generative answers node eliminates the component that searches the configured knowledge sources and produces the grounded topic response. A standalone custom prompt can format or transform supplied input, but it does not automatically inherit the topic's selected knowledge sources or reproduce the node's retrieval behavior. The resulting answer could therefore have the requested executive-summary style while failing the grounding requirement. The correct design retains the generative answers node and applies topic-scoped custom instructions to its response, or captures the grounded output in a variable and sends that content through a carefully configured formatting prompt. General knowledge should remain disabled when the topic must use only approved enterprise sources. Connector security and data policies continue to govern the actual source connections and cannot be replaced by prompt text. The proposed removal is consequently not a valid solution. Validation should inspect the retrieved sources, generated answer, final format, and behavior when no authorized source returns relevant content. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom prompts.
質問 # 42
An agent's generative answers responses sometimes include information not present in any configured knowledge source. What should you do to reduce this behavior?
正解:B
解説:
Restricting the generative answers node (or agent instructions) to only use configured knowledge sources reduces hallucinated content that isn't grounded in approved data.
質問 # 43
A company is configuring generative answers for an agent in Copilot Studio agent.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?
正解:B
解説:
Requiring grounding prevents the agent from generating an answer when relevant content isn't retrieved. Configuring Azure AI Search as the knowledge source ensures enterprise indexed content supplies the grounding context, while the response is generated through the configured Microsoft Foundry model. Microsoft also documents that disabling Allow ungrounded responses restricts answers to configured knowledge sources.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
https://learn.microsoft.com/en-us/microsoft-copilot-studio/faqs-generative-answers
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/retrieval-augmented-generation
質問 # 44
A company has an approved custom connector that uses a REST API for an internal system.
An agent in Copilot Studio must call this connector during conversations to retrieve or update data.
To meet the business needs, the solution must meet the following requirements:
Make the connector actions available for the agent to invoke.
Ensure authentication is handled at the service level, not per user.
Pass conversation context into the connector when it is called.
Surface the returned data of the connector to the user in the conversation.
You need to configure the agent and the connector action 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.
正解:
解説:
Explanation:
Requirement
Correct configuration
Make connector actions available for the agent to invoke.
Add the connector as a tool in the agent.
Handle authentication at the service level, not per user.
Create or reuse a connection for the connector.
Pass conversation context into the connector when called.
Map topic variables to the tool inputs.
Surface the connector's returned data to the user.
Parse the JSON response and assign it to a topic variable.
Adding the approved connector as an agent tool exposes its defined REST operations to Copilot Studio. The tool can then be called explicitly from a topic or selected dynamically by generative orchestration, depending on its configuration.
A connector connection stores the authentication configuration required to call the underlying service. Among the provided choices, creating or reusing that connection is the correct service-authentication action. For strict service-level authentication, the tool must additionally be configured under Credentials to use with Maker- provided credentials . Creating a connection alone does not guarantee this behavior if the tool remains configured to use end-user credentials.
Topic variables containing conversation context-such as a customer identifier, ticket number, or requested operation-are mapped to the connector tool's input parameters. This ensures the REST request receives values collected earlier in the conversation.
When the connector returns structured JSON, the relevant values must be parsed and stored in a topic variable. That variable can then be referenced in a message, adaptive card, or subsequent topic node to present the returned information to the user.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Add tools to agents # Add a tool by using an existing custom connector . See Use connectors in Copilot Studio agents and Add tools to custom agents .
質問 # 45
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The company has the following requirements for the application:
The deployment workflow must follow a dependency driven sequence.
The agent must be published before configuration values are retrieved.
End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
正解:
解説:
質問 # 46
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