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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
| Topic 2: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 3: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
過去数年にわたって、何百人もの業界の専門家を集め、数え切れないほどの困難を克服し、最終的に完全な学習製品であるAB-620テスト回答を作成しました。カスタマーサービスは24時間ご利用いただけます。メールまたはオンラインでいつでもご連絡いただけます。さらに、AB-620テストトレントを購入するためのすべての顧客情報は、厳重に機密保持されます。お客様のプライバシーを第三者に開示することも、営利目的で使用することもありません。次に、製品の詳細を紹介します。
質問 # 34
A development team is reusing agents in Copilot Studio across development, test, and production environments.
You need to ensure the agents meet the following requirements:
Reusable components must support governed promotion across environments.
Environment-specific configuration must not be hard-coded.
Deployments must support automated, multi-stage approvals.
You need to configure the agents based on the business requirements.
正解：
解説：
質問 # 35
A company uses multiple Copilot Studio agents that perform specialized tasks.
You need to configure a Copilot Studio agent in your environment to connect to an external agent.
What should you do?
正解：B
解説：
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: An external agent that supports Agent2Agent is connected by supplying its A2A endpoint and the required authentication configuration. The endpoint represents a collaboration interface between independently orchestrated agents, enabling the Copilot Studio agent to delegate a task and receive the partner agent's response. Generative answers cannot call another agent merely because both use generative AI; they retrieve and synthesize from knowledge sources. A Power Platform connector could wrap an ordinary API, but it would not use the specified A2A agent contract and would lose agent-to-agent semantics. Adding the target as indexed knowledge would only make a corpus searchable and would not execute the target agent. The endpoint must be the A2A message endpoint, not just a website or agent-card URL. The builder should give the connection a discriminating description, configure authentication if the endpoint is protected, and validate handoff behavior in the test pane. Production planning should include timeout, failure, logging, and data-sharing boundaries between the two agents. 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.
質問 # 36
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
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 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：
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm
質問 # 37
You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources.
You run the evaluation and review the following result for one test case:
- Expected response: Digital products are non-refundable after
download.
- Actual response: Digital products cannot be refunded once downloaded.
- Result: Pass
- Score: 0.92
- Reasoning: The actual response semantically matches the expected
response.
- Knowledge sources used: RefundPolicy_KB
- Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
正解：A、E
解説：
No additional corrective action is required for this specific test case. The evaluation shows a successful outcome because the actual response semantically matches the expected response, achieved a high score (0.92), and cited the correct knowledge source without unnecessary tool invocations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-edit
質問 # 38
A solution containing an agent in Copilot Studio is deployed to multiple environments that require different configuration values.
Configuration values must vary by environment without modifying the solution contents.
Configuration values must meet the following requirements:
* Allow values to be set during import.
* Exclude values from the agent definition.
* Run a dedicated agent instance for each individual environment.
You need to configure the application lifecycle management solution.
What should you configure 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.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Allow values during import # Define environment variables in the solution; Exclude values from the agent definition # Define environment variables in the solution; Dedicated instance per environment # Publish a distinct agent version in each environment.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Environment variables separate deployment-specific values from the solution components that consume them. Their definitions travel with the solution, while current values can be supplied during import or deployment for Dev, Test, and Prod. This satisfies both the need to set values at import and the need to keep those values out of the agent ' s authored definition. Hard-coding would force edits for every environment and create configuration drift.
Channel-specific settings address channel behavior, not general external references such as endpoints, IDs, or connection details. Each Power Platform environment contains its own imported agent component and runtime configuration, so a distinct published agent instance is maintained per environment after deployment.
Pipelines can prompt for or preconfigure environment-variable values and connection references as the solution advances through stages. Administrators should avoid placing secrets in ordinary text variables; secret environment variables can reference Azure Key Vault when needed. A release checklist should verify all current values and connections before publishing the target instance, because missing configuration can leave flows or tools unusable even when solution import succeeds. Study Guide alignment: Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create and use environment variables.
質問 # 39
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