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| Section | Weight | Objectives |
|---|---|---|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
| Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
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NEW QUESTION # 24
A company builds a canvas app that processes images submitted by users and must classify them using an existing AI Builder model.
The app must generate predictions during user interaction.
You need to consume the AI model natively.
What should you do?
Answer: A
Explanation:
To process user-submitted images natively within a canvas app using an existing AI Builder model, you should Call the model from app logic.
By adding the AI model as a data source and calling its .Predict() method in your Power Fx formulas, the app evaluates the images dynamically while the user interacts with it.
Reference:
https://learn.microsoft.com/en-us/ai-builder/powerfx-in-powerapps
NEW QUESTION # 25
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 # 26
A company uses a canvas app to retrieve records from a large data source. Users report slow performance when searching and filtering data. The company requires a solution that:
* Improves performance when working with large datasets.
* Optimizes query execution.
* Enables the app to load quickly.
You need to optimize query performance. What should you do?
Answer: D
Explanation:
Deferring nonessential data loading reduces the amount of work performed during application startup and allows the first screen to become interactive sooner. Data that is needed only on later screens or after a user action should be queried when it is actually required. This avoids large OnStart collections, lowers memory consumption, and prevents unnecessary connector calls. Loading the entire dataset into a local collection is the opposite of the requirement and can hit row limits while creating long startup delays. Splitting the same large result across several collections still transfers excessive data and adds state-management complexity.
Server-side views can help constrain data, but the question ' s broad startup requirement is best addressed by delayed loading together with delegable Filter and Search formulas. Makers should use delegable predicates, request only needed columns, cache only small stable reference data, and verify behavior with App checker and Monitor. Microsoft recommends minimizing startup work and delaying noncritical calls as core canvas- app performance practices.
Reference: https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/efficient-calculations Study Guide alignment: Create intelligent applications.
NEW QUESTION # 27
A company uses a prompt to generate responses based on internal support knowledge.
The company requires the prompt to minimize generation of unsupported and incorrect information while ensuring responses remain useful.
You need to tune the prompt model settings.
How should you configure the model settings?
Answer: D
Explanation:
To minimize unsupported information and ensure factual accuracy, you should decrease the temperature setting to a low value, typically between 0.0 and 0.3. Lowering the temperature forces the model to prioritize the most probable words, making the responses conservative, deterministic, and tightly aligned with your internal support knowledge base.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/optimize-prompts-topic-configuration
NEW QUESTION # 28
A company that manufactures medical devices uses Power Apps to manage their sales and device maintenance.
A table named Devices in Microsoft Dataverse has a column named Status. The Status column must have a new status value of Review added to the existing Choice values of Active and Inactive.
The table must be added to a solution to be promoted once the change is made.
Only this change must be promoted to the test environment. The changes must not be able to be changed once promoted.
You need to add the change to a solution for promotion.
Which option should you use? To answer, move the appropriate options to the correct actions. Each option may be used 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:
Add the Devices table to the solution: Add object. Add only the Status column change: Add object and select the Status column only. Export as a managed solution.
Add object is used to include the existing Devices table in the solution and to choose the specific table object that must travel with it. To minimize the deployment, add only the Status column rather than all table objects.
Add required components should be used only when the selected component has dependencies that are necessary for correct operation; it is not a substitute for deliberately selecting the changed column and may expand the solution beyond the requested scope. After adding the Review choice value, publish the customization, verify the solution components, and export the solution as managed so the promoted component cannot be edited directly in the test environment. The environment receiving the solution should be checked for compatible dependencies and the import should be validated before broader release. The solution version should be incremented so the deployment remains traceable. Microsoft solution guidance supports selective table-object inclusion and managed deployment to keep downstream customizations controlled.
Reference: https://learn.microsoft.com/en-us/power-platform/alm/create-solutions Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 29
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