AB-620復習解答例、AB-620専門試験

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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integrate and Extend Agents in Copilot Studio40-45%- Build advanced agent solutions
  • 1. Design and implement multi-agent solutions
  • 2. Implement human-in-the-loop workflows
  • 3. Create agent flows
  • 4. Configure actions and tools
  • 5. Automate computer-use and orchestration scenarios
- Integrate agents with enterprise systems
  • 1. Use connectors and custom connectors
  • 2. Implement Model Context Protocol (MCP)
  • 3. Integrate REST APIs and external services
  • 4. Configure Azure AI Search and enterprise knowledge sources
  • 5. Integrate with Microsoft Foundry and Azure services
Topic 2: Test and Manage Agents20-25%- Monitor and manage agent solutions
  • 1. Implement governance and security controls
  • 2. Use Power Platform pipelines and ALM processes
  • 3. Manage deployments and environments
  • 4. Test and validate agent behavior
  • 5. Monitor agent flows and performance
  • 6. Apply responsible AI practices
Topic 3: Plan and Configure Agent Solutions30-35%- Plan agent solutions
  • 1. Plan integration with enterprise systems
  • 2. Plan channels and deployment
  • 3. Plan reusable agent components
  • 4. Plan responsible AI strategy
  • 5. Plan identity strategy
  • 6. Design agents for internal or external audiences
  • 7. Evaluate security and governance considerations

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio 認定 AB-620 試験問題 (Q107-Q112):

質問 # 107
Drag and Drop Question
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 associate each requirement with the configuration approach.
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. 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: Define environment variables in the solution.
The correct ALM-related configuration to use for this requirement is Environment Variables.
You must use Environment Variables (specifically with the Current Value left blank in the development solution) to allow different configuration values across multiple environments without modifying the solution contents. When you export the solution as managed and import it into a target environment, the system will explicitly prompt the administrator to set the values during import.
Box 2: Define environment variables in the solution
Define environment variables in the solution is the correct Application Lifecycle Management (ALM) configuration to use for this requirement.
Separates Data from Code: Environment variables act as parameters that store configuration keys and values separately from your agent's definition.
Preserves Solution Integrity: You can transport the same solution across development, testing, and production environments without modifying any of its internal contents.
Excludes Hardcoded Values: They explicitly remove the need to embed sensitive or environment- specific data directly inside the agent, satisfying your exact requirement.
Box 3: Define environment variables in the solution
You should use Environment Variables combined with Connection References within Power Platform / Copilot Studio.
Define parameters centrally: Create environment variables inside your solution to act as placeholders for your configuration values (like URLs, IDs, or API keys).
Keep the solution generic: Your Copilot agent references these variables rather than hardcoded values.
Set values per deployment: When you import the managed solution into a new environment (Test, Production, etc.), the deployment pipeline prompts you to provide the specific values for that environment.
Isolate agent traffic: Because the variables point to environment-specific backend services, data sources, or IDs, a single solution definition naturally spins up and drives a dedicated, isolated agent instance in each environment.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm


質問 # 108
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
* Must retrieve the current balance of a customer account stored in Dataverse.
* Must retrieve the real-time shipping status of an order that updates throughout the day in Dynamics 365.
* Must answer questions based on the content of a static PDF policy document.
* Must provide a welcome message that does NOT depend on enterprise data.

正解:

解説:


質問 # 109
A company is building an agent in Copilot Studio.
The agent must meet the following requirements:
Responses must be grounded in approved internal content.
The agent must be able to retrieve information from configured data sources in a topic.
You need to configure the agent so that topic responses are grounded from custom data sources.
What should you configure?

正解:B

解説:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A generative answers node inside the topic is the correct place to retrieve from configured knowledge sources for that specific conversational path. The node can use the user ' s message as input, search designated sources, and generate a grounded response from the retrieved content. Topic-level sources can override the broader agent-level set, which is useful when the topic must restrict itself to approved data. A custom prompt that merely instructs the model to use company information does not create or enforce a retrieval connection. Increasing the response limit affects length, not grounding. Analytics measures usage after the fact and cannot supply knowledge.
Adding SharePoint only at agent level is unnecessarily narrow and would not satisfy the requirement for custom sources configured within the topic. The builder should enable Search only selected sources when strict scoping is required and turn off general knowledge if no ungrounded fallback is allowed. Testing should inspect both the answer and the resource details to confirm that the intended source supplied the evidence.
Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom knowledge sources.


質問 # 110
Drag and Drop Question
A company plans to use Copilot connectors to ground answers from a third-party system for an agent in Copilot Studio.
To meet the business needs, responsibilities for configuring and using Copilot connectors must be separated, based on the following requirements:
- For tenant administration, the connector must be available at the
tenant level.
- For agent runtime behavior, answers must be grounded from authorized
sources.
- For builder configuration, you must add the connector to the agent.
You need to determine how Copilot connector set-up responsibilities are handled across tenant, runtime, and builder stages.
What should you configure for each requirement? To answer, move the appropriate configuration 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: Configure the Copilot connector in Microsoft 365 Admin Center
Microsoft 365 Copilot connectors (Graph connectors) must be enabled, authenticated, and configured centrally at the tenant level via the Microsoft 365 Admin Center (Copilot > Connectors). This establishes organizational data availability, schema mapping, and access permissions across the whole tenant.
Box 2: Call the connector knowledge source.
When an end user interacts with the agent at runtime, the execution engine dynamically queries and calls the connector knowledge source to retrieve authorized context and ground the generated response.
Box 3: Add the Copilot connector as a knowledge source.
Maker/builder actions in Copilot Studio involve authoring the agent by choosing to add the Copilot connector as a knowledge source so the agent knows where to retrieve enterprise information from.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/connectors/overview
https://learn.microsoft.com/en-us/microsoft-365/copilot/connectors/manage-connector
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/agent-builder-add-knowledge
https://learn.microsoft.com/en-us/microsoft-copilot-studio/copilot-connectors-in-copilot-studio


質問 # 111
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.

正解:

解説:

Explanation:
Block unsafe content # Configure the content-filtering/moderation level for AI-generated content; Diagnose why a response was filtered # Review Azure Application Insights telemetry; Identify the triggering user input # Review conversation transcripts.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Content moderation is the preventive control that evaluates generative input and output for harmful categories and blocks responses that violate the configured threshold. A stricter level reduces the likelihood that unsafe material is returned, although it may also increase false positives and reduce answer coverage. Application Insights provides operational telemetry for investigating filtered or failed behavior when appropriate logging is enabled, including events and message details subject to the organization ' s privacy settings. Conversation transcripts are the direct source for identifying which user utterance preceded the filter decision; connector run history would only be relevant if a connector failed and cannot reveal the original conversational input in this scenario. Logging must be configured carefully because prompts and responses can contain personal or sensitive information. Access to telemetry and transcripts should be restricted, retention should follow policy, and sensitive activity properties should not be enabled casually. The team should test both user prompts and model-generated responses, document expected safety behavior, and preserve a human review and escalation path for legitimate requests that are incorrectly blocked. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan responsible AI strategy; Evaluate security and governance considerations.


質問 # 112
......

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