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| Section | Weight | Objectives |
|---|---|---|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
ブラウジング中の支払いのセキュリティが心配ですか？ AB-620テストトレントは、購入プロセスのセキュリティ、製品のダウンロード、インストールを安全でウイルスのないものにすることができます。この点について疑問がある場合は、専門の担当者がインストールと使用をリモートでガイドします。 AB-620テスト回答の購入プロセスは非常に簡単で、単純な人にとっては大きな恩恵です。AB-620学習教材の合格率は彼らのものよりもはるかに高いことを保証できます。そしてこれが最も重要です。以前のデータによると、AB-620トレーニング質問を使用する人の98％〜99％が試験に合格しました。あなたが私たちに信頼を与えてくれるなら、私たちはあなたに成功を与えます。
質問 # 75
You need to ensure that performance-related questions are handled in accordance with Fabrikam Inc.'s defined architecture and business requirements Which capability should Operations Concierge use?
正解：A
解説：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A Fabric Data Agent is the capability designed for questions that must be answered from governed analytical data. Fabrikam's backlog, SLA-risk, parts-shortage, and dispatch-delay measures already reside behind a Fabric semantic model, so delegating these requests to the data agent preserves the business definitions, relationships, and security applied in Fabric. The result can be returned in a structured form suitable for weekly operational review rather than being estimated from general model knowledge. A Foundry agent is already assigned to summarization and classification of long-form text; it is not the authoritative source for operational KPIs. An MCP server is appropriate when the user must perform a transaction, such as creating a parts request, but the question asks for performance information rather than an update. Azure AI Search supports document retrieval for policies and procedures, not calculation over the Fabric semantic model. The primary agent's description for the Fabric specialist should explicitly mention the supported metrics so generative orchestration consistently delegates those requests instead of attempting an unsupported generative answer. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Integrate a Fabric data agent.
質問 # 76
A company has agents in Copilot Studio.
The company needs to prevent the agents from using disallowed connectors and insecure data flows.
Administrators must be able to enforce the governance controls to prevent and report violations.
You need to enforce governance controls for agents.
What should you do?
正解：D
解説：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform data policies are the preventive governance control for connectors, HTTP endpoints, knowledge sources, and combinations of data groups used by Copilot Studio agents. Administrators can classify or block connectors, restrict endpoint use, require authentication, and surface policy violations during authoring or publishing. This meets both enforcement and reporting requirements. Application Insights records runtime telemetry but does not prevent a maker from adding a disallowed connector. Security FAQs provide guidance only. Agent analytics can reveal behavior and usage trends but are detective, not an administrative guardrail. Data policies should be scoped deliberately at tenant or environment level and tested against representative agent configurations. When a violation occurs, Copilot Studio can block publishing and provide downloadable details identifying the policy conflict, enabling the administrator and maker to correct the design. Governance should also include least-privilege connections, environment segmentation, solution-based ALM, and review of exceptions; a broadly permissive policy followed by manual monitoring is not equivalent to enforcing the control at design and deployment time. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Evaluate security and governance considerations.
質問 # 77
You need to configure generative answers so the agent meets Fabrikam Inc.'s business requirements Which solutions should you use? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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：
質問 # 78
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.
正解：A、B
解説：
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 .
質問 # 79
A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?
正解：C
解説：
To establish an ALM-ready custom solution from the very beginning, you should Create a new custom solution from the Solutions area.
When building an agent in Microsoft Copilot Studio that requires proper Application Lifecycle Management (ALM), the end-to-end framework consists of three sequential lifecycle actions:
1. Initiate inside a Solution: Navigate to Solutions, select Create a new solution, define a custom publisher/prefix, and create or add your agent inside this container. This ensures that the agent and all its dependencies (topics, prompts, variables) are scoped to that specific package from day one instead of landing in the Default Solution.
2. Package and Move: Once your development phase passes validation, you Export the custom solution as a managed solution from your Development environment.
3. Deploy to Target: You then Import it into the Test and Production environments. Using a managed solution locks the components in downstream environments, preventing unmanaged customization drift and maintaining environment stability.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-overview
質問 # 80
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