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| Section | Objectives |
|---|---|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Embed agents and AI experiences | - Agent integration
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 48
A company uses a model-driven app across multiple departments.
A public view intended only for managers currently exposes sensitive columns and filters to all users.
The view must meet the following requirements:
- Restrict access to the specific public view to managers.
- Display only context-relevant views for other users.
You need to configure view access.
What should you do?
Answer: B
Explanation:
To achieve this goal, you should restrict the view by assigning it to the manager security role.
Incorrect:
[Not B]
Table-level permissions (Security Roles) control access to the data rows themselves, not the user interface components like views.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/manage-view-access
NEW QUESTION # 49
A company uses Dataverse to configure derived values for sales records.
The company requires the following functionality:
- Evaluate an expression by using numerical columns in the same row.
- Calculate the result dynamically when accessed.
- Ensure the result is NOT stored as part of the table data.
- The solution must minimize use of custom code.
You need to configure the app.
What should you do?
Answer: D
Explanation:
The best option to use is a calculated column (or its modern equivalent, a formula column).
Why?
Evaluates expressions in the same row: Calculated and formula columns natively execute calculations using other numerical columns belonging to the exact same row.
Calculates dynamically when accessed: Calculations are performed on-the-fly and evaluated in real-time when the data is read or displayed.
Not stored in table data: Because the value is dynamically generated at the database or query level whenever requested, it does not permanently occupy physical table data storage.
Minimizes custom code: These are out-of-the-box, low-code configurations inside Microsoft Dataverse utilizing simple Excel-like or Power Fx formulas.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/types-of-fields
NEW QUESTION # 50
Drag and Drop Question
You are modifying a model-driven app. You set up a customer table in Microsoft Power Platform to retrieve user data.
You set up a form with the following columns for users to enter their data. The form includes the following columns:
The form must do the following:
- The Country/region column must automatically populate with US when
English is chosen as a language. If the user selects Other for this
column, the column must remain blank so that user can enter a value.
- The Passport expiration date column must appear only if the user
selects Yes in the Passport ownership column.
You need to configure the app with the least amount of effort.
What should you configure? To answer, drag the appropriate solution component to the correct requirements. Each solution component 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:
Box 1: Business rule
The best option to use for this scenario is a Business rule
Why it works: Microsoft Dataverse Business Rules provide a fast, no-code way to apply form logic directly at the user-interface layer.
Implementation: You can set a condition (e.g., If Language equals English), and add an action to set the column value (e.g., Set Country/region to US). You can also handle the "Other" logic easily using If/Then/Else branching within the same rule designer to clear or keep fields blank.
Benefit: It runs immediately in real-time on the model-driven app form as the user interacts with it, offering a seamless user experience without requiring a save operation.
Box 2: Business rule
The best option to use is a Business rule.
This feature is specifically designed to handle client-side form logic in model-driven apps without needing code. You can easily set up a conditional "If Passport ownership equals Yes, then set Passport expiration date visibility to Visible" rule that runs instantly on the form.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/create-and-edit-a-model-driven-form
NEW QUESTION # 51
A developer wants a generative AI application to consistently return responses in a structured format that another application can process automatically. Which technique should be applied?
Answer: C
Explanation:
Prompt engineering can define expected response formats, including JSON structures, fields, and formatting requirements. This improves interoperability between AI-generated responses and downstream applications. Increasing randomness reduces consistency, while removing instructions weakens model behavior control. Validation logic should complement AI output processing rather than being disabled.
NEW QUESTION # 52
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: C
Explanation:
The app should call the existing AI Builder model from its app logic. The model is added to the canvas app and invoked from Power Fx associated with a user event such as a button selection, passing the current image as input. The returned class, confidence, or other prediction values can immediately update controls or be stored with the business record. Retraining for every image is neither required nor operationally appropriate; training is a controlled model-lifecycle activity performed with a curated dataset. Reusing a stored prediction would classify the previous input rather than the newly submitted image. Exporting a solution transports the model and app components between environments but does not execute inference. Runtime code should check that an image exists, handle prediction failures, and apply a confidence threshold or human-review path where the business decision requires it. The AB-410 Study Guide includes the exact objective "consume an AI model in apps." Option D describes that native runtime consumption and is the only action that generates a prediction during the user's current interaction.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume an AI model in apps." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 53
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