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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 2: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Topic 3: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Topic 4: Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
AB-410試験問題の更新を1年以内にクライアントに無料で提供し、1年後にクライアントは50％の割引を受けることができます。クライアントが古いクライアントの場合、一定の割引を享受できます。当社Microsoftの専門家は、毎日AB-410ガイドトレントを更新し、AB-410スタディガイドの最新の更新をクライアントに提供します。私たちはクライアントに割引を提供し、彼らがより少ないお金を使うようにします。あなたが古いクライアントである場合、あなたは特別割引を享受することができますので、お金を節約することができます。したがって、AB-410テストトレントを購入することは非常に価値があります。
質問 # 85
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
正解：B
解説：
A custom connector is required to integrate with the third-party AI service because the integration needs a defined authentication scheme and custom request handling. The connector wraps the service's API as named operations, with host information, paths, methods, headers, parameters, request bodies, and response schemas.
Power Automate or Power Apps can then call those operations through governed connections instead of reconstructing raw requests in every solution. Power Fx is an expression language and does not by itself define or secure an external API contract. Microsoft 365 Copilot chat is a user productivity experience, not a Dataverse integration mechanism. An environment variable can store deployment-specific configuration such as a base URL or identifier, but it neither authenticates nor sends the API request. The connector should be packaged in a solution, use the service's supported API key or OAuth design, and comply with data loss prevention policies. This directly aligns with the Study Guide cloud-flow objective "evaluate and recommend connectors" and Microsoft's custom connector architecture.
Study Guide reference/topic: "Create cloud flows - Evaluate and recommend connectors." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 86
You are creating a Power Automate cloud flow.
The cloud flow will create several SharePoint Online list items based on a variety of conditions.
If any of the dependent SharePoint Online actions fail, you must revert the changes while the automation runs.
You need to design the cloud flow to meet the requirement.
Which two actions should you implement for the design? Each correct action presents part of the solution.
正解：D
解説：
Power Automate supports structured error handling through Scope actions and configurable run-after conditions. A Scope groups related SharePoint Online operations into one logical processing block, allowing the workflow to evaluate whether the grouped operations succeed or fail. Setting Run After to Has failed enables a subsequent error-handling action or Scope to execute when the preceding processing block encounters a failure. This approach supports a Try-Catch pattern for managing dependent operations.
However, SharePoint list actions do not automatically provide transactional rollback simply because they are grouped inside a Scope. To revert previously completed operations, the error-handling branch must explicitly perform compensating actions, such as deleting SharePoint list items successfully created before the failure. A Dataverse changeset request is not an appropriate replacement for SharePoint compensation logic. These configurations provide the foundation for controlled failure recovery.
質問 # 87
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
# Generate the summary immediately when the agent selects a button in the app.
# Supply current user-entered data to the prompt.
You need to execute the prompt.
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、E
解説：
The app should pass the current user-entered values as prompt parameters and invoke the prompt directly from the button's Power Fx logic. Parameters ensure that the generated summary is grounded in the text currently displayed in the app rather than stale or hard-coded data. Direct invocation from the button provides the immediate interactive behavior required by the scenario. A cloud flow can also consume a prompt, but it adds an orchestration layer that is u nnecessary when the requirement is limited to a synchronous canvas-app interaction. Publishing the prompt is part of making a completed component available, but it does not execute the prompt or provide the current input. Updating general app settings is unrelated. The button formula should validate blank content, handle errors, and place the returned summary in a variable or control only after a successful response. The prompt's inputs and output should be typed and tested for expected maximum lengths. The Study Guide explicitly includes "add inputs to a prompt" and "consume a prompt in apps." Options B and C meet those two runtime responsibilities.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
Topic 1, Fabrikam Inc
Background
Fabrikam Inc. is an energy provider that operates wind and solar farms across multiple countries and regions.
The company uses Microsoft Power Platform to manage asset maintenance, technician workflows, and predictive analytics.
Field technicians use canvas apps on mobile devices to capture inspection and repair data. Operations managers use model-driven apps to monitor asset performance and maintenance history.
The company plans to enhance its platform by introducing AI-driven insights, improving reuse across applications, and establishing a formal application lifecycle management (ALM) strategy.
Current environment
Applications
Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.
Operations managers use a model-driven app to review maintenance records and asset performance trends.
Development practices
Developers build and modify applications directly in the production environment.
There is NO structured ALM process.
Solutions are NOT consistently used to package or deploy application components.
Reusable components are inconsistently implemented across apps, leading to duplication.
AI integration
Fabrikam Inc. plans to actively explore generative AI usage as part of the next phase of work.
Business requirement
Application development
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only. In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Apps must support efficient data entry for technicians in the field.
Reusable UI elements must be implemented to reduce duplication.
AI capabilities
The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
Customer complaint responses must be generated in applications and based on emails being sent to a mailbox.
Custom AI development must be minimized.
Generative AI reusability
Generative AI solutions must accept dynamic inputs to adapt to different scenarios.
Generative AI solutions must be reusable across different Power Platform services.
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
Technical requirements
Application lifecycle management (ALM)
Separate environments must be used for development, testing, and production.
Solutions must be used to package application components, segmented based on functional areas.
Managed solutions must be deployed to the production environment.
Validation must occur before deployment to production.
Data processing
Aggregated values across related rows must be displayed for reporting.
Calculations must update automatically as new data is entered. Calculation data must be limited to a maximum length of 10.
Issues
Duplicate logic exists across multiple canvas apps.
Developers frequently overwrite changes in production.
Generative AI solutions produce inconsistent outputs due to missing or inconsistent inputs.
Maintenance metrics are not consistently calculated across related rows.
質問 # 88
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.
(Choose three.)
NOTE: Each correct selection is worth one point.
正解：A、B、C
解説：
To automate this customer feedback workflow, you must implement the following three components:
[A]
AI Builder (Sentiment Analysis Model)
Purpose: Autonomously analyzes customer feedback.
Function: Evaluates text natively within the Power Platform.
Action: Classifies feedback sentiment as positive, negative, or neutral without manual coding.
[B]
Power Automate (Cloud Flows)
Purpose: Orchestrates the entire automated workflow.
Function: Triggers when new feedback arrives (e.g., via email, forms, or social media).
Action: Passes text to AI, routes data to storage, and executes conditional logic for escalations.
[E]
Microsoft Dataverse
Purpose: Stores results for reporting and triggers downstream actions.
Function: Acts as the secure, relational data platform for the project.
Action: Holds the feedback text, sentiment scores, and historical data for Power BI reporting.
Reference:
https://learn.microsoft.com/en-us/ai-builder/flow-sentiment-analysis
質問 # 89
A company implements a Microsoft Dataverse custom API named SubmitForReview.
This action:
- Runs complex business logic to create a record.
- Is used by multiple apps and services.
The company requires a Power Automate cloud flow that:
- Runs every time the SubmitForReview action is run.
- Avoids triggering on unrelated record updates.
You need to recommend a trigger change type.
Which trigger change type should you recommend?
正解：D
解説：
The Microsoft Dataverse connector provides the When an action is performed trigger for initiating Power Automate cloud flows when a supported Dataverse action completes. In this scenario, the SubmitForReview custom API represents a specific business operation that can be invoked by multiple applications or services.
Configuring an action-based trigger allows the flow to respond to that operation rather than monitoring general changes to Dataverse records. The custom API must be exposed through an appropriate Dataverse event catalog and category so that it can be selected by the trigger. The flow can then access supported action input and output parameters as dynamic content for subsequent processing. A row-change trigger could execute for unrelated record modifications, while the row-selection trigger requires explicit user interaction.
Action-based triggering therefore provides targeted automation and reduces unnecessary workflow executions.
質問 # 90
......
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