どんなに宣伝しても、あなたの自身体験は一番重要なことです。我々社のPassTestからMicrosoft AB-620問題集デモを無料にダウンロードできます。多くの受験生は試験に合格できましたのを助けるMicrosoft AB-620ソフト版問題はあなたの大好きになります。AB-620問題集を使用してから、あんたはIT業界でのエリートになります。
| Section | Objectives |
|---|---|
| Topic 1: Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Topic 2: Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior |
| Topic 3: Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| Topic 4: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Topic 5: Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors |
AB-620試験トレーニングにより、最短時間で試験に合格することができます。十分な時間がない場合、AB-620学習教材は本当に良い選択です。学習の過程で、AB-620学習教材も効率を改善できます。学習する時間が足りない場合は、AB-620テストガイドが空き時間を最大限に活用します。 AB-620学習質問に合わせた専門家は、あなたに非常に適している必要があります。プロセスをより深く理解できます。すべての時間を効率的に使用して、私を信じて、あなたはあなたの夢を実現します。
質問 # 33
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
正解：C、E
解説：
[A] Configure an HTTP action and invoke it from a topic during the conversation.
This is a correct and supported solution.
You can fulfill this requirement directly within Microsoft Copilot Studio by configuring an HTTP Request node (HTTP action) inside a topic.
Real-Time Execution: The HTTP action is explicitly executed at runtime during the live conversation when the specific topic is triggered.
Native Authentication Support: The HTTP Request node allows you to securely pass authentication tokens, API keys, or custom credentials directly within the request headers.
Handles Structured JSON: The node natively supports standard REST methods (GET, POST, PATCH, PUT, DELETE) and can ingest structured JSON data, allowing you to parse and store the returned values into agent variables for use later in the conversation.
[C] Add the REST API as a tool and call it either by using a topic or agent instruction.
Depending on how your agent architecture is managed, you could also fulfill this requirement using these alternative methods:
*-> REST API Tools (OpenAPI Plugins): You can upload an OpenAPI specification directly into Copilot Studio to register the REST API as a native REST API tool/action.
* Power Automate Flows: You can invoke a Power Automate cloud flow from a topic, using the HTTP connector inside the flow to retrieve and pass back the JSON data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
質問 # 34
A company uses an agent in Copilot Studio that produces structured responses using a reusable instruction template. The responses follow the required tone and format. During a compliance review, the team discovers that the responses were generated using a model that is not on the approved list.
The company requires that the reusable instruction template continues to be used and the model used for prompt-driven responses meets governance requirements.
The solution must ensure that prompt-driven responses are generated using an approved model.
You need to configure the solution that meets the requirements.
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、F
解説：
To fix the compliance issue in Microsoft Copilot Studio, you must select an approved model from the catalog for generation and ensure the correct template is applied. The two necessary configuration steps are:
[F] Select an approved model from the model catalog in the configuration used for prompt-driven response generation.
[C] Ensure the reusable instruction template is the one applied to the agent that generates the structured response.
Configuration Steps
Model Selection: Open your agent settings in Microsoft Copilot Studio and choose a compliant, approved foundation model from the catalog for your prompt responses.
Template Assignment: Verify and re-apply the correct reusable instruction template directly to the specific agent responsible for generating the structured output.
Reference:
https://techcommunity.microsoft.com/blog/microsoft365insiderblog/choosing-the-right-ai-model-in-microsoft-365-flexibility-control-and-confidence/4530762
質問 # 35
A team is developing an agent in Copilot Studio and wants to evaluate its behavior before expanding access.
The team needs a repeatable, consistent method to test the agent by using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?
正解：C
解説：
A test set provides the controlled evaluation method required in this scenario. It consists of prepared prompts or questions together with defined expectations, such as an expected response or evaluation criterion. Copilot Studio can run the same test cases repeatedly, capture the agent's generated responses, and compare the results against the established baseline. Because the inputs and expectations remain fixed, changes between runs can be attributed more reliably to modifications in the agent's instructions, topics, tools, or knowledge configuration.
A qualitative review may be useful during exploratory testing, but it depends heavily on individual judgment and does not provide the same repeatability. Previous production sessions also contain uncontrolled user inputs and changing conversational context, so they are unsuitable as a standardized baseline. Publishing the agent to additional channels expands exposure rather than validating response quality.
Telemetry and analytics are valuable after deployment for monitoring fallback frequency, topic usage, engagement, containment, and other operational behavior. However, analytics alone do not execute a fixed collection of interactions or compare each response with a predefined expectation. They therefore complement formal evaluation rather than replace it.
The appropriate action is to define and repeatedly execute a test set containing prompts and expected outcomes. Relevant study-guide areas are Evaluate agent responses , Create and run test sets , and Analyze evaluation results . See Agent evaluation overview .
質問 # 36
You need to enable Operations Concierge to delegate shipment tracking inquiries according to Fabrikam Inc. ' s defined architecture and technical requirements.
Which integration approach should you use?
正解：D
解説：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The partner capability is described as an agent available only through a standardized agent-to-agent endpoint. That is the defining use case for an Agent2Agent connection. In Copilot Studio, the primary agent is configured with the external agent ' s A2A message endpoint and the applicable authentication details, after which orchestration can delegate shipment-tracking requests to it. An MCP server exposes tools or resources rather than an independently orchestrated partner agent, so option C changes the integration contract. An indexed knowledge source is also unsuitable because shipment status is dynamic and the requirement is delegation, not retrieval from a copied corpus. Generative responses in the primary agent would have no authoritative live shipment source and would violate the defined architecture. The A2A description should identify shipment tracking precisely so that it does not compete with unrelated agents or tools. Because external-agent support can be preview functionality, Fabrikam should also validate regional availability, authentication, error behavior, latency, and governance before production use. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Create a multi-agent solution by using A2A protocol.
Topic 1, Fabrikam inc.
Background Current Environment:
Fabrikam Inc. is a Canada-based manufacturer with a growing service organization that supports field technicians and internal operations teams. Fabrikam Inc. plans to launch a new internal agent solution named Operations Concierge to reduce time spent searching policy content, retrieving operational metrics, and executing routine transactions.
The agent will be used by three groups:
* Service coordinators who triage incoming service requests
* Field technicians who need guided procedures and parts availability
* Operations managers who monitor KPIs and exceptions
The agent solution must work in real-world operational conditions. Users often ask questions mid-call with a customer or while coordinating parts shipments. The agents require quick, reliable outcomes. As a result, Fabrikam Inc. requires the solution to:
* Provide grounded answers with traceability when it provides guidance.
* Retrieve real-time metrics when users ask for operational status,
* Execute authenticated updates when users initiate a flow (such as creating a parts request).
Fabrikam Inc. also expects the solution to be maintained by multiple makers and developers across the year.
The company has experienced duplicated logic and inconsistent behavior across different agents. This project emphasizes reuse, governance, and maintainability across teams.
Business Requirements:
Fabrikam Inc. runs three Microsoft Power Platform environments for agent development and release: Dev, Test, and Prod.
The team plans to build the agent and validate it in Dev and Test, then promote to Prod by using a controlled release process that supports repeatable deployments.
Fabrikam Inc. already has two assets the team wants to reuse:
* A partially completed Copilot Studio agent named Service Desk Agent, used by IT to create internal tickets and route requests
* A Microsoft Foundry agent created by a central AI team that performs specialized summarization and classification for long-form text (for example, summarizing call transcripts into an incident narrative) Fabrikam Inc. also has operational and knowledge data sources:
* A curated policy library (internal SOPs, service warranty rules, escalation criteria, and standard operating procedures)
* A set of indexed documents and procedures in an Azure AI Search service that supports vector search for the policy library
* A Microsoft Fabric workspace that includes a semantic model used by operations leadership for reporting Business Requirements:
Fabrikam Inc. requires Operations Concierge to meet the following business requirements:
* Traceability requirement: When the agent provides policy guidance or procedural recommendations, users must be able to see where the answer came from.
* Metrics requirement: When users ask about service performance (backlog, SLA risk, parts shortages, dispatch delays), the solution must return up-to-date metrics in a structured format that operations managers can use in weekly reviews.
* Transaction requirement: The solution must support authenticated updates initiated during conversations, including creating a parts request and updating a service case status.
In addition, Fabrikam Inc. wants to avoid duplicating common assets across agents:
* The team must reuse the same set of escalation topics, MCP tool definitions, and a standard safety disclaimer across three different agents.
* Only the platform engineering group is allowed to edit shared assets. However, all agent authors must be able to use them.
Technical Requirements:
The Fabrikam Inc. ' s solution architecture uses a multi-agent approach so that specialist responsibilities are isolated and can evolve independently.
The Operations Concierge (primary agent) must coordinate the following specialist capabilities:
* Policy and procedure Q & A: Use an enterprise knowledge source that supports indexed retrieval across the curated policy library and service procedures.
* Operational metrics: Delegate metric queries to a Fabric Data Agent that reads governed business data through the Fabric semantic model.
* Authenticated updates: Use tools exposed by an existing internal Model Context Protocol (MCP) server that provides transactional operations for the service organization.
* Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
Fabrikam Inc. will onboard two MCP servers as tools:
* PartsOps MCP server: exposes tools for parts availability checks and parts request creation. The server requires per-user authentication because actions must be traceable to the requesting user.
* WarrantyRules MCP server: exposes a read-only tool for validating warranty coverage. The server uses an API key shared by the agent team.
Fabrikam Inc. has also defined a collaboration requirement with the existing Service Desk Agent:
* The primary agent must delegate IT-specific requests to the existing Service Desk Agent rather than reimplement ticket creation logic.
Finally, Fabrikam Inc. plans to support a partner integration:
For shipment tracking inquiries, Fabrikam Inc. will delegate to a partner-provided agent that is only available through a standardized agent-to-agent endpoint.
Issues and constraints
During early testing, Fabrikam Inc. found three recurring problems:
* Makers are copying and modifying the same components across agents, resulting in inconsistent disclaimers and duplicated tools.
* Users can obtain a correct answer, but the response is not consistently traceable to a source when the agent uses knowledge.
* The primary agent can route some requests, but specialist capabilities are not consistently delegated (for example, some metric questions are answered generatively instead of being routed to the Fabric Data Agent).
* You are part of the engineering team responsible for correcting the design and configuration to meet the preceding requirements and constraints.
質問 # 37
An agent calls a flow. The agent requires structured output values to be returned.
The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow.
What should you do?
正解：E
解説：
Validating your parameter definitions is the correct first step. Unexpected or empty values typically occur because of a schema mismatch or because unsupported, nested data types are passed directly between the agent and the Power Automate flow.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-flow-create
質問 # 38
......
今この競争社会では、専門の技術があったら大きく優位を占めることができます。IT業界では関連の認証を持っているのは知識や経験の一つ証明でございます。PassTestが提供した問題集を使用してIT業界の頂点の第一歩としてとても重要な地位になります。君の夢は1歩更に近くなります。資料を提供するだけでなく、MicrosoftのAB-620試験も一年の無料アップデートになっています。
AB-620日本語pdf問題: https://www.passtest.jp/Microsoft/AB-620-shiken.html