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| Section | Objectives |
|---|---|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
| Embed agents and AI experiences | - Agent integration
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
最近Microsoft試験に参加する人が多くなっています。どのように試験を準備すべきですか？受験生たちはまず試験センターでAB-410認証試験に関する情報を了解してください。順調にAB-410試験に合格するために、我々の問題集で復習することができます。我々の問題集は的中率が高いですから、あなたのAB-410試験への復習に役立つことができます。
質問 # 74
A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.
The company is evaluating which solution component to include in the app. The solution must meet the following requirements:
- Users must interact with system-generated responses while working
within forms and views.
- Responses must reflect the current data and context in the app.
- Users must remain within the app while interacting with the solution.
You need to recommend solution components for the app.
Which two components should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
正解：A、B
解説：
[B]
A Microsoft Copilot Studio agent fulfills these specific requirements by providing embedded, context-aware AI directly inside the user's workflow without disrupting their activities.
In-Form Interactions: Using the Agent response component, agents can be embedded directly into the layout of a model-driven form. This prevents context switching, allowing users to interact with responses alongside their primary workspace.
Real-Time Context: By leveraging Agent APIs, the agent is automatically passed dynamic app data-such as case details, customer information, and recent interactions-triggering specific topics that tailor responses to the exact current record.
Rich Native Formatting: The solution accommodates Markdown text, images, videos, and Adaptive Cards directly in forms. Customer service representatives can therefore review procedures and examine troubleshooting information without ever leaving the app.
[D]
You should include an App assistant agent (also known as a Copilot sidecar or embedded Copilot agent) in your Power Platform solution.
In-App Interaction: An embedded Copilot Studio agent integrates directly into the model-driven app as a sidepane sidecar or page component. This satisfies the requirement that users must remain within the app.
Context-Aware Responses: Modern app assistant agents inherently access the active form context, row data, and selected view items. This fulfills the requirement that responses must reflect current data and context.
Direct Interaction: Representatives can chat with, trigger, and review system-generated outputs directly beside their active workspace, allowing seamless interaction within forms and views.
Reference:
https://learn.microsoft.com/en-us/power-platform/architecture/reference-architectures/contextual-ai-model-driven-app
質問 # 75
A company plans to implement an automated process to retrieve and analyze customer feedback.
The company requires a solution that:
# Autonomously analyzes feedback.
# Stores results for reporting.
# Triggers an escalation for negative sentiment.
You need to design the solution.
Which three components should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. (Choose three.)
正解：A、C、E
解説：
The solution requires an AI Builder prompt, a cloud flow, and a Dataverse table. The prompt performs the autonomous semantic analysis of each feedback item, including sentiment or other instructed classifications.
The cloud flow supplies the event-driven orchestration: it retrieves new feedback, calls the prompt, interprets the result, writes the output, and branches to an escalation action when sentiment is negative. Dataverse provides persistent, queryable storage for the original feedback, model result, status, and reporting fields. A canvas app may be useful for reviewing results but is not required for autonomous execution. A business rule can validate or adjust Dataverse data but cannot independently call the generative model and orchestrate external escalation. The flow should include explicit failure handling, confidence or result validation, and an idempotent design so retries do not create duplicate escalations. Approved data policies must also permit the connectors used by the flow. The Study Guide covers "consume a prompt in cloud flows," "configure cloud flow actions," and the creation of Dataverse-backed business solutions. A, B, and E form the complete analysis, automation, and persistence architecture.
Study Guide reference/topic: "Create cloud flows; Create prompts and models in AI Hub." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 76
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 company integrates external systems into Power Automate by using cloud flows.
The company must connect to external services with different characteristics and determine whether a custom connector is required.
You need to evaluate if a custom connector is necessary to meet the requirements.
Solution: A cloud flow must retrieve data from Microsoft Dataverse.
Does the solution meet the goal?
正解：B
解説：
Correct:
* A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
This scenario requires a custom connector. Because it is a proprietary or internal service, Microsoft does not provide a pre-built native bridge. Building a Microsoft Custom Connector wraps the web service's REST/SOAP API into a reusable tool, eliminating the need to repeatedly configure HTTP headers and endpoints across separate flows.
Incorrect:
* A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
A custom connector is not necessary here. For single-use or non-reusable integrations, using a generic built-in HTTP action step is the most efficient and fastest choice.
* A cloud flow must retrieve data from Microsoft Dataverse.
Power Automate includes a native, out-of-the-box Microsoft Dataverse connector. There is no need to develop a custom connector for default Power Platform data storage.
* A cloud flow must retrieve data from SharePoint Online lists.
SharePoint Online is fully supported by native Microsoft 365 integrations. You should use the pre- built SharePoint connector instead of creating a custom wrapper.
Reference:
https://alphavima.com/blog/power-apps-custom-connector-rest-api/
質問 # 77
An organization wants to enhance a model-driven app with Copilot capabilities to improve user productivity, provide contextual guidance, and automate selected business processes.
The solution must meet the following requirements:
* Provide contextual assistance to users that is aware of the current record and page they are working with.
* Automatically execute business processes when predefined trigger conditions are met.
You need to select the appropriate Al component for each requirement
Which component should you use for each requirement? To answer, move the appropriate capabilities to the correct requirements. You may use each capability 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:
Record-aware contextual assistance: App assistant agent. Automated business steps on trigger conditions: Agent flow.
An app assistant agent is embedded in the application experience and can use the current model-driven app context, including the active page or record, to provide relevant guidance to the user. That satisfies the interactive, record-aware assistance requirement. An agent flow is designed to carry out a defined automated process and can run when configured trigger conditions occur, making it the appropriate component for unattended business steps. An AI Builder model produces a prediction or extraction result but does not itself provide an in-app conversational assistant or orchestrate a triggered process. A general Microsoft 365 Copilot chat experience is not tied to the current model-driven record in the required way. The solution should still scope the assistant ' s access to data the user is authorized to see and should design the flow with clear inputs, failure handling, and auditable outputs. The AB-410 study guide explicitly includes evaluating built-in agents and mapping processes to agent or app capabilities.
Reference: https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/add-ai-copilot Study Guide alignment: Create a foundation for intelligent applications.
質問 # 78
A company uses Power Apps.
Users must be able to view only the address1 columns in the Account table.
You need to ensure other address columns are not visible to users when creating views and filters.
What should you do?
正解：C
解説：
Disabling the Searchable property for the unwanted address columns removes them from maker-facing query and view design experiences where searchable columns are offered for views, charts, and Advanced Find- style filtering. That directly addresses the requirement that users should not be able to select those columns while creating views and filters. Column-level security is not a metadata-hiding feature: removing Read access protects values at runtime but does not reliably remove the column definition from customization or query interfaces. A business rule can change controls on forms, but it does not govern which columns are available to a view designer. Deleting standard address columns is destructive, can break dependencies, and is unnecessary. The original answer A therefore over-applies data security to what is fundamentally a discoverability/configuration requirement; D is the verified answer. If the values themselves are sensitive, column security may be implemented in addition, but that is a separate requirement. This decision aligns with the AB-410 objectives "create and modify columns" and "configure public views," particularly the use of column metadata to shape view and filter authoring.
Study Guide reference/topic: "Build data models - Create and modify columns; Configure public views." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 79
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