ほとんどの人がAB-620ガイド急流を入手するのは容易ではありませんが、製品を選択する限り、資格AB-620証明書を簡単かつ効率的に取得できると思います。教材を選択したら、AB-620ガイドの質問から試験ポイントをマスターできます。その後、試験に合格するのに十分な自信があります。安全な環境と効果的な製品については、AB-620の質問トレントを試してみてください。
| Section | Weight | Objectives |
|---|---|---|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
なんで悩んでいるのですか。MicrosoftのAB-620認定試験にどうやって合格するかということを心配していますか。確かに、AB-620認定試験に合格することは困難なことです。しかし、あまりにも心配する必要はありません。試験に準備するとき、適当な方法を利用する限り、楽に試験に合格することができないわけではないです。では、どんな方法が効果的な方法なのかわかっていますか。MogiExamのAB-620問題集を使用することが最善の方法の一つです。MogiExamは今まで数え切れないIT認定試験の受験者を助けて、皆さんから高い評判をもらいました。この問題集はあなたの試験の一発合格を保証することができますから、安心に利用してください。
質問 # 129
A team has an existing agent in Copilot Studio and must move it to a different target location without rebuilding the agent. Some builders use Copilot Studio in the web app, while others use Copilot Studio in Microsoft Teams.
You need a supported approach to move the existing agent to the target location by using ALM practices. The solution must avoid rebuilding the agent.
What should you do?
正解：D
解説：
Microsoft Copilot Studio uses Power Platform solutions as the supported packaging and transport mechanism for application lifecycle management. Because the agent already exists, the correct process is to create a custom solution in the source environment and add the existing agent to that solution. The solution captures the agent and its dependent components so they can be exported as a package and imported into the target environment. This avoids rebuilding topics, variables, tools, and other agent configuration manually.
Power Platform pipelines can automate deployment after the agent has been packaged, but a pipeline does not independently discover and package an agent that has not been added to a solution. Consequently, option A omits a required dependency. Manually duplicating the agent, as proposed in option C, is not a controlled ALM process and introduces configuration drift between environments.
Option D is also incorrect. Agent topics and related components should not be removed directly from a solution to prepare an export. Microsoft warns that deleting or manipulating dependent agent components independently can create missing dependencies and cause export or import failures.
After import, environment-specific items-such as authentication, connections, environment-variable values, and channels-may require verification before the agent is published in the target environment. Relevant study-guide areas are Manage solutions , Export and import agents , and Implement ALM . See Export and import agents using solutions .
質問 # 130
A company uses multiple Copilot Studio agents that perform specialized tasks.
The company needs to enable one agent to directly delegate and invoke another agent within Copilot Studio by using a standard Copilot Studio interface.
You need to configure collaboration among agents by using Copilot Studio.
What should you do?
正解：B
解説：
The correct step to take is to provide A2A (Agent-to-Agent) endpoint information for the target agent.
Standard Multi-Agent Protocol: The Agent-to-Agent (A2A) protocol is the open, standard framework specifically designed to allow independent agents to directly communicate, discover capabilities via agent cards, and delegate workflows across standard interfaces. Providing the A2A endpoint information allows the orchestrating agent to securely hand off specialized tasks to the target agent.
Incorrect:
[Not A]
Adding the target agent as a Microsoft Fabric Data Agent is a separate, specialized pattern reserved strictly for reasoning over heavy data science pipelines and querying enterprise data lakes (like Lakehouses or Semantic Models). It is not used for standard cross-framework agent collaboration or general delegation within the native Copilot Studio interface.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agents-experience/add-agent-connected
質問 # 131
A team is implementing ALM for agents in Copilot Studio across multiple environments. The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports the creation and use of ALM scenarios for agents in Copilot Studio.
Solution: Builders can change environment-variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
Does the solution meet the goal?
正解：B
解説：
The proposed solution does not meet the goal because environment variables are read-only within Copilot Studio. Agent builders can reference environment variables in topics, tools, formulas, and other agent components, but they cannot directly modify the variables' current values from the Copilot Studio authoring interface.
Environment variables are created and managed through the appropriate Power Platform or Power Apps solution-authoring experience. During an ALM deployment, they separate environment-specific configuration-such as service endpoints, resource identifiers, or other external references-from the agent definition. This separation allows the same solution package to move through development, testing, and production without changing its internal components. Administrators can supply appropriate values during solution import or update the current values in the target environment afterward.
For non-secret environment variables, an agent normally must be republished after an administrator changes a value so that the published runtime uses the updated configuration. Secret environment-variable values are retrieved differently and do not require republishing when changed.
Therefore, the claim that builders can complete this configuration by editing values directly in Copilot Studio is technically incorrect. Relevant AB-620 study-guide topics are Create and use environment variables , Create solutions , and Implement ALM for agents in Copilot Studio . See Variables overview in Copilot Studio
質問 # 132
An agent calls a flow that intermittently produces unexpected results during execution.
The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
正解：C、E
解説：
[A]
To diagnose the root cause of intermittent, unexpected results and inconsistent behavior in a Copilot agent flow, the correct step is to inspect failed run details.
Selecting a specific failed run from the history allows you to view the exact inputs, outputs, and error messages for each action within that specific execution. This is the only way to pinpoint exactly why a flow intermittently produces unexpected data or behaves inconsistently during a precise moment in time.
[C]
Checking the Activity tab in Microsoft Copilot Studio is a critical diagnostic step. It lets you trace exact interactions, see the decisions the AI made, and check for specific error details to determine why the flow execution failed or behaved inconsistently.
Reference:
https://community.powerplatform.com/forums/thread/details/?threadid=09732bfd-2c63-f011-bec2-6045bdda2f4f
https://community.powerplatform.com/forums/thread/details/?threadid=ac8bc7a2-86c9-f011-bbd3-000d3a184f11
質問 # 133
A company needs an agent in Copilot Studio to complete tasks by interacting with a legacy desktop application that does not use APIs. The builder needs that UI automation can run in the supported execution context and needs a way to inspect how the automation behaves during testing conversations. to validate To meet the business needs, the solution must meet the following requirements:
* Enable the agent to perform UI automation against the legacy application.
* Inspect execution details for the automation during conversations.
You need to configure the agent based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
正解：B、D
解説：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Computer use is the Copilot Studio capability for operating a website or desktop application ' s graphical interface when an API is unavailable. Enabling it gives the agent a UI automation tool driven through the supported machine execution context. During testing, the builder can open the computer-use activity or remote session from the agent ' s activity view to observe steps, inspect logs, and understand failures in real time. Adding a desktop flow is a different deterministic automation technology and is not required by the stated computer-use design.
Publishing alone does not provision the UI automation or its machine. A custom connector cannot automate screen controls when the application exposes no API. The tool should be configured with narrowly scoped instructions, a healthy supported machine, protected credentials, and human confirmation for sensitive actions. Because computer-use behavior is probabilistic and visual interfaces change, the team should test alternate screen states, pop-ups, timing, and recovery, then monitor production sessions under strict access and retention controls. Study Guide alignment: Integrate and extend agents in Copilot Studio > Add tools to agents > Configure and monitor computer use for an agent.
質問 # 134
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