AB-620学習ツールの魂としての「信頼できる信用」、経営理念としての「最大限のサービス意識」により、高品質のサービスをお客様に提供するよう努めています。あなたの小さなヘルパーになり、AB-620認定テストに関するご質問にお答えするサービススタッフは、すべてのユーザーとの包括的で調整された持続可能な協力関係を目指します。 AB-620テストトレントに関するパズルは、タイムリーで効果的な応答を受け取ります。公式ウェブサイトにメッセージを残すか、都合の良いときにメールを送信してください。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Deploy and manage agent lifecycle
|
| Topic 2: Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
| Topic 3: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
AB-620認定資格を取得できれば、その地域で仕事をうまくこなせるので、簡単かつ迅速に昇進できます。最新のAB-620クイズトレントは、Microsoftあなたのキャリアの成功に直接導くことができます。当社の資料は、実際の運用試験の雰囲気をシミュレートし、試験をシミュレートできます。ダウンロードとインストールでは、コンピューターとAB-620テスト準備を使用するユーザーの量に制限はありません。 AB-620試験トレントを習得するのに最適な学習方法を選択できるため、最高のサービスを提供します。私たちを信じて、AB-620試験問題を購入してください。
質問 # 45
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
Each evaluation case is reported as meeting or missing the expected response.
Some evaluation cases fail repeatedly across several runs.
Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
* Outcome of individual evaluation cases # Pass or fail status
* Behavior observed across repeated runs # Consistent outcomes
* Details presented in evaluation output # Expected and generated responses A recurring failure across several runs indicates a consistent pattern, not an intermittent result. However, evaluation results alone do not automatically establish the root cause or grant production approval; the failed cases still require investigation.
質問 # 46
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.
You need to configure Operations Concierge so that prompt-driven summarization behavior aligns with Fabrikam Inc.'s architectural 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：B、C
解説：
Scenario: Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
[C] Model Selection: Choosing a specific model from the Foundry catalog ensures that your classification and summarization requests are routed directly to the correct, optimized LLM backend within the Microsoft Foundry ecosystem.
[E] Custom Prompt Templates: Creating and applying a reusable template ensures consistent formatting, tone, and logic across all areas where your agent handles summarization and classification tasks.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/bring-your-own-model-prompts
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-prompt-node
質問 # 47
Drag and Drop Question
A company needs an agent to answer questions using live enterprise records and to execute a limited set of operations in the same system.
To meet the business needs, the agent must meet the following requirements:
- The agent must update a record using authenticated access.
- The agent must answer questions using live data at runtime.
- The agent must avoid indexing enterprise data into a search index.
You need to select the correct Power Platform connector approach for each requirement.
Which option should you use for each requirement? 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：
Explanation:
Box 1: Power Platform connector tool.
The most appropriate choice is to use the Power Platform connector tool.
Executes Actions: A tool connector allows the agent to perform actions (like updating a record), whereas a knowledge source is strictly for reading and retrieving data.
Authenticated Access: Power Platform connector tools use the user's credentials to securely write back and modify live enterprise records.
Real-Time Operations: It interacts directly with the host system API to execute the update instantly.
Box 2: Power Platform connector for real-time knowledge.
The best choice is to use the Power Platform connector for real-time knowledge.
For an agent that must answer from operational systems using live data at runtime without data replication-and execute limited system operations-Power Platform connectors serve as live API bridges.
Box 3: Power Platform connector for real-time knowledge.
The most appropriate option is to use the Power Platform connector for real-time knowledge.
No Data Replication or Indexing: Unlike Copilot Graph connectors-which copy and index external enterprise records into Microsoft Graph-Power Platform connectors act as live API bridges. For systems like Salesforce, ServiceNow, or SQL databases, Copilot Studio implements a real-time Retrieval-Augmented Generation (RAG) approach. It relies only on source metadata to build queries at runtime, meaning your actual enterprise records are never ingested, duplicated, or saved to a search index.
Live System Integration: This type of connector allows the agent to answer questions directly from live operational systems and preserves security configurations by requiring users to sign in and authenticate using their own source-level permissions.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
質問 # 48
You are testing an agent in a development environment and need to verify how it responds across multiple conversation paths before publishing to production. What should you use?
正解：A
解説：
The built-in Test panel lets builders simulate conversations, inspect variable values, and trace which topics/nodes fired, without affecting the published production agent.
質問 # 49
Drag and Drop Question
A company is configuring an agent flow that uses multiple action types to perform operations and process data.
The flow must be configured as follows:
- An HTTP action must connect to an external service.
- A data action must reference the correct data to process.
You need to configure the settings for each action type.
Which setting should you configure for each action? To answer, move the appropriate configuration settings to the correct actions. You may use each configuration setting 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: Endpoint and authentication
Endpoint and authentication is the correct configuration setting to use.
To connect any HTTP action to an external service, the system fundamentally needs to know where to send the request and how to prove it has permission to access it.
Endpoint (URL): Specifies the exact web address of the external API or service.
Authentication: Credentials (like API keys, OAuth tokens, or Basic Auth) that verify the agent's identity.
Box 2: Input and mapping
The correct configuration setting to use is Input and mapping, because it directly links and passes the correct source data parameters into the data action Reference:
https://explained.tines.com/en/articles/10985421-http-request-action-example-request-with-authorization
https://microsoft.github.io/mcscatblog/posts/combining-agent-flows-and-agents-gotchas-errors-and-patterns/
質問 # 50
......
「あきらめたら そこで試合終了ですよ」という『スラムダンク』の中の安西監督が言った名言があります。この文は人々に知られています。試合と同じ、試験もそのどおりですよ。試験に準備する時間が十分ではないから、AB-620認定試験を諦めた人がたくさんいます。しかし、優秀な資料を利用すれば、短時間の準備をしても、高得点で試験に合格することができます。信じないでしょうか。Topexamの試験問題集はそのような資料ですよ。はやく試してください。
AB-620実際試験: https://www.topexam.jp/AB-620_shiken.html