Japancert製品の3つのバージョンを使用して、Designing and Building Integrated AI Agent Solutions in Copilot Studio学習の質問は、PDFとソフトウェアとAPPバージョンの異なる用途を持つ顧客の異なる好みと好みを満たすことができますMicrosoft。 質問の曖昧な点があなたを混乱させることなく、私たちの練習資料はあなたの試験に適した内容の本質を伝えることができます。 最も科学的な内容と専門的な資料AB-620準備資料は、成功に不可欠です。 リーズナブルな価格でこのような価値ある買収があなたの目の前で提供され、あなたは十分に活用することを確信することができます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 2: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 3: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
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質問 # 119
A company wants an agent to retrieve real-time answers from a large, frequently updated document repository stored outside Dataverse, with strong relevance ranking. Which knowledge source should you configure?
正解：D
解説：
Azure AI Search provides indexed, relevance-ranked retrieval over large and frequently updated content, making it the preferred grounding source for enterprise-scale RAG scenarios compared to static file uploads.
質問 # 120
You deploy an agent in Microsoft Copilot Studio that triggers a cloud flow to update customer records in Microsoft Dataverse.
You observe the following after deploying the agent:
* Several runs fail because of a temporary authentication issue.
* The flow continues to trigger and generate additional failed runs.
You must:
* Stop additional failed executions while troubleshooting.
* Process a failed execution after resolving the authentication issue.
* Validate whether the most recent executions succeeded immediately after resolution.
You need to use the appropriate monitoring and management actions to restore normal flow operation and validate successful execution.
Which action should you perform for each requirement?
正解：
解説：
Explanation:
Requirement
Correct action
Stop additional failed executions while troubleshooting.
Disable the flow.
Process a failed execution after resolving the authentication issue.
Resubmit the run.
Validate whether the most recent executions succeeded immediately after resolution.
Review the Activity history.
Disabling the flow is the appropriate containment action because it prevents the trigger from creating additional executions while the authentication connection is investigated and repaired. Cancelling one run affects only that particular execution and does not prevent subsequent trigger events. Deleting the flow is unnecessarily destructive, while changing the trigger condition would alter the flow's intended business logic.
After repairing the Dataverse connection or authentication credentials, the failed execution should be resubmitted . Resubmission processes the previous run again using its recorded trigger inputs, allowing the corrected connection to complete the actions without manually recreating the original event. Microsoft permits failed flow runs to be selected and resubmitted from their run history.
The Activity history is the appropriate place to perform immediate validation. It shows individual flow executions, their status, duration, and action-level details. By contrast, Analytics presents aggregated performance information and may not update immediately; Microsoft notes that run-related analytics visualizations can take up to 30 minutes to reflect activity.
Relevant study-guide area: Plan and configure agent solutions # Create and monitor agent flows in Copilot Studio # Monitor agent flows and implement error handling . See Monitor your agent flows and Cancel or resubmit flow runs .
質問 # 121
You need to plan how Fabrikam Inc. will reuse shared components across multiple agents while limiting who can change the shared components in Copilot Studio Lite.
Which approach should you use for each requirement? To answer, move the appropriate components to the correct requirements. You may use each component 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 # 122
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 using predefined interactions.
You need to ensure that agent responses can be evaluated consistently across multiple test runs.
What should you do?
正解：B
解説：
Defining test sets of prompts and expectations is the correct and recommended action to take.
Microsoft Copilot Studio includes a built-in feature specifically designed for this purpose called Agent Evaluation. This framework replaces subjective spot-checking with automated, scalable regression testing to ensure your agent behaves safely and consistently before you expand user access.
Reference:
https://techcommunity.microsoft.com/blog/copilot-studio-blog/agent-evaluation-in-microsoft-copilot-studio-is-now-generally-available/4507392
質問 # 123
Case Study 2 - Fabrikam Inc.
Background
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.
Current environment
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 as allowed to edit shared assets. However, all agent authors must be able to use them.
Technical requirements
The Fabrikam Inc. 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, Fabrikarn 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.
Drag and Drop Question
You need to connect Operations Concierge to Fabrikam Inc.'s Azure AI Search knowledge index while complying with security requirements.
Which configuration should you use 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:
Box 1: Select the service principal as the authentication type
When Copilot Studio connects to Azure AI Search, you choose an authentication type for the connection. Copilot Studio supports adding Azure AI Search as a knowledge source, and by default this is set up using key-based authentication. However, keys are shared secrets with no identity tied to them - they don't satisfy governance requirements around authenticated, auditable access. A service principal (Microsoft Entra ID app registration) is different: a service principal is an identity that represents an application and allows it to access resources in your tenant, and for security and compliance reasons, Copilot Studio uses federated identity. Using a service principal means the connection authenticates as a distinct Entra ID identity with role- based permissions (e.g., "Search Index Data Reader") rather than a static key - which is what
"governance requirement for authenticated access" is pointing at.
Box 2: Enter the name of the Azure AI Search index
An Azure AI Search service can host multiple indexes. Simply pointing at the service isn't enough
- Copilot Studio supports vectorized indexes using integrated vectorization, and when setting up the knowledge source you must select/name the specific index that contains your curated content (e.g., the "policy and procedure Q&A" index) rather than some other index that might live on the same service.
Box 3: Provide the Azure Search Endpoint URL in the connection details
The Endpoint URL (e.g., https://<search-service-name>.search.windows.net) identifies which Azure AI Search service instance the connection points to - this is how Copilot Studio knows which physical resource holds your indexed policy documents, as distinct from any other Search service in the tenant.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/security-faq
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
質問 # 124
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