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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Topic 2: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Topic 3: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Topic 4: Extend and secure intelligent solutions | 20% | - Secure access and data
|
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NEW QUESTION # 121
A company has a product report in PDF format. The report must be rewritten with formal vocabulary and cadence.
The company requires a prompt that can be used within a canvas app to rewrite the report as a Word document. The prompt must reference a business glossary stored in a SharePoint site.
You need to make a suggestion for the expectations portion of the prompt to generate a report summary correctly.
What should you suggest?
Answer: D
Explanation:
The best approach is "The summary should highlight key themes, product features, and recurring feedback." Choosing this approach is best because it provides explicit, actionable instructions to the AI model.
Incorrect:
[Not B]
Simply telling the AI to "use the PDF and the glossary" only identifies the sources of data; it does not explain what to do with that data or how to structure the output. Combining specific criteria (themes, features, feedback) with your source references ensures a high-quality, targeted summary.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/prompt-column
NEW QUESTION # 122
A company uses a Dataverse table to manage support cases.
You must provide employees with a summary of case information derived from multiple columns without requiring a manual review of the data.
The solution has the following requirements:
# Generate a case summary following the given instructions.
# Include the context of the current record in the generated output.
You need to configure the solution.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
The maker should define a prompt that references the support-case fields and create the destination column with the Prompt data type. The prompt contains the instructions for producing the case summary and declares the record inputs needed to ground that output. The prompt column then makes the generated summary available in the Dataverse/model-driven app context for the current row. A formula column performs deterministic Power Fx computation and cannot generate a natural-language summary from multiple fields. A business rule can set or validate values, but it does not invoke a generative model. The prompt should limit inputs to the approved columns, specify the required structure, and handle empty or contradictory case data so the generated content remains useful. Security on the source fields must still be respected, because an AI- generated summary must not become a route around restricted data. The AB-410 Study Guide lists "configure prompt columns" under Build data models and "add inputs to a prompt" under AI Hub. Options A and D supply the instruction definition and the Dataverse column behavior required for record-context generation.
Study Guide reference/topic: "Build data models - Configure prompt columns." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 123
A company is creating a canvas app and a model-driven app to manage their customer accounts.
The canvas app requires a business rule to set the Business Type column to large if the customer size is greater than a specific currency value.
The model-driven app requires a business rule to recommend the account rating be re-evaluated when the account goes on credit hold for this app only.
You need to configure the scope for the business rules.
Which scope should you use? To answer, drag the appropriate scopes to the correct business rules. Each scope may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Business Type rule - Table scope; Account rating re-evaluation rule - Specific form scope
The Business Type rule should use Table scope because it must apply to the data regardless of which form or app is used, including the canvas app. Table-scoped business rules execute at the table level for supported operations and are not tied to one model-driven form. The account-rating recommendation is explicitly limited to one model-driven app form, so Specific form scope is the correct choice. This prevents the recommendation from appearing on other account forms that serve different processes. All forms would be broader than necessary because it applies the client-side rule to every main form for the table. The maker should confirm that the selected actions are supported at the chosen scope; not every form action is available at table scope. The original requirement to set Business Type based on customer size is data logic, whereas the rating recommendation is presentation guidance in a particular experience. The Study Guide explicitly lists "configure business rules." The verified mapping applies the narrowest effective scope: Table for reusable cross-app data behavior and Specific form for the app-limited recommendation.
Study Guide reference/topic: "Implement business and process logic - Configure business rules." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 124
A company wants to provide managers with visual insights into business performance data.
Managers require aggregated and visual representations of data directly within the app to be viewed in parallel with a list of rows.
You need to configure the visual representation of data.
What should you do?
Answer: D
Explanation:
Model-driven app dashboards provide a centralized workspace for displaying aggregated information and business records through charts, lists, and other supported visual components. Administrators can create system dashboards that present information from Dataverse tables and make these dashboards available to application users. A dashboard can display a chart alongside a record list, allowing managers to examine business performance indicators and their underlying data together. Interactive dashboards also provide filtering capabilities that help users investigate operational information. Configuring application navigation only controls access to application areas, while a custom page would require additional design work to reproduce the required experience. A Power BI semantic model provides an analytical data structure but does not independently create the requested interface. A model-driven dashboard therefore offers an appropriate native solution for combining visual and tabular information.
NEW QUESTION # 125
You plan to add a new column to a system table in Dataverse and then move the changes to a test environment when they are complete.
You create a new development environment to make the changes.
The changes must meet the following requirements:
- Changes must be clearly identified so that they are not confused with system components or components from other solutions.
- Changes must not affect unrelated existing components in the test environment.
You need to prepare a solution for deployment to the test environment.
Which four actions should you perform in sequence?
Exhibit:
Answer:
Explanation:
Explanation:
Create a new publisher # Create a new unmanaged solution and select the correct publisher # Add the table to the solution and add the new column # Run Solution Checker.
Microsoft recommends creating a dedicated publisher and unmanaged solution when developing custom Power Platform components. First, the publisher establishes a distinct customization prefix that identifies solution-owned components and helps prevent naming conflicts. Second, developers create an unmanaged solution associated with that publisher, providing an editable development container. Third, they add the relevant system table and create the required column within the solution context. Only necessary components should be selected to minimize unintended changes to downstream environments. Finally, Solution Checker analyzes the solution for supported quality, reliability, performance, and maintainability issues before deployment. This sequence creates a traceable development structure and supports controlled application lifecycle management. After validation, the solution can be exported appropriately for the target environment.
Microsoft documents custom publishers, unmanaged solutions, component segmentation, and Solution Checker as fundamental ALM practices.
NEW QUESTION # 126
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