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| Section | Weight | Objectives |
|---|---|---|
| Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
| Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
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NEW QUESTION # 62
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?
Answer: B
Explanation:
Using column-level security to remove read access is the correct and most appropriate approach.
In Microsoft Dataverse, column-level security (CLS) applies a restrictive model organization-wide.
Once you enable column security on a column, all users automatically lose read, create, and write access to that column by default. Because the underlying data engine strictly blocks unauthorized access, these columns are automatically hidden from forms, system views, personal views, and filter dropdowns. This safely prevents users from adding restricted columns when they try to build their own custom views or query filters.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-field-solution-explorer
NEW QUESTION # 63
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 uses a model-driven app.
The company must be able to dynamically control how components of the form behave as users interact with it. The solution must modify the form in real time while the user interacts with the interface.
You need to enforce client-side behavior dynamically.
Solution: Use Power Automate cloud flows to update column values.
Does the solution meet the goal?
Answer: B
Explanation:
Correct:
* Use JavaScript to dynamically show and hide columns.
Using JavaScript to dynamically show, hide, or disable columns is an excellent and widely used solution for enforcing client-side behavior in a model-driven app. You achieve this in real time by adding JavaScript web resources and attaching event handlers to the form's OnLoad and OnChange events.
Incorrect:
* Use business rules to show inline error messages.
* Use Power Automate cloud flows to update column values.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/use-main-form-and-components
NEW QUESTION # 64
A company plans to improve the efficiency and consistency of reviewing internal requests.
The company requires a solution that uses Al to evaluate submissions before they entei the approval process.
The solution must:
* Capture user input by using business logic.
* Autonomously evaluate input
* Route only qualifying submissions.
You need to select the Power Platform components for the solution.
Which components should you use? To answer, move the appropriate components to the correct requirements.
You may use each component 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.
Answer:
Explanation:
Explanation:
Capture user input with business logic: Canvas app. Evaluate input autonomously: AI Builder. Route qualifying submissions: Cloud flow.
The canvas app supplies the interactive interface and Power Fx business logic used to capture and validate a submission. AI Builder evaluates the submitted content by applying the appropriate prediction, classification, document, or prompt model without requiring a human reviewer for every item. A cloud flow then uses the evaluation result in a condition and sends only qualifying submissions into the approval process. Dataverse may persist the submission and result, but storage is not the component requested for any of the three functional steps. Keeping the responsibilities separate produces a clear architecture: user experience in the app, AI inference in the model, and orchestration in the flow. The implementation should define confidence thresholds, provide a route for uncertain results, and avoid treating generative output as infallible. The flow should record the decision inputs and outcome for troubleshooting and governance. Microsoft positions canvas apps, AI Builder models, and Power Automate cloud flows as complementary components for intelligent application scenarios.
Reference: https://learn.microsoft.com/en-us/ai-builder/use-in-powerapps-overview Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 65
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.
The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.
You need to select the available knowledge source for the prompt.
What should you use?
Answer: C
Explanation:
A Dataverse table is the best knowledge source for a Power Automate Retrieval-Augmented Generation (RAG) prompt handling product specifications.
Why Dataverse is better than PDF
Native Integration: Power Automate and Dataverse sit on the same Power Platform infrastructure.
This eliminates complex document parsing and connector lag.
Precise Grounding: AI models read structured rows and columns much more accurately than unstructured PDF layouts, tables, or multi-column text.
Real-Time Accuracy: Product specs change. Updating a Dataverse cell instantly updates the AI's knowledge. Modifying, re-uploading, and re-indexing a PDF creates version-control issues.
Accuracy: Minimizes model hallucinations because the AI reasons over discrete, low-code tabular data.
Reference:
https://microsoft.github.io/agent-academy/operative/08-dataverse-grounding/
NEW QUESTION # 66
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.
Answer:
Explanation:
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.
NEW QUESTION # 67
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