Microsoft Building Intelligent Applications Sample Questions:

1. An organization deploys an AI application handling customer information. The company must ensure transparency regarding AI-generated decisions and provide explanations to users. Which responsible AI principle applies?

A) Compression efficiency
B) Hardware optimization
C) Transparency
D) Data duplication

2. Drag and Drop Question
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.

3. A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution.
The development teams have the following requirements:
- Teams must develop and update the same features independently.
- Updates must not overwrite changes made by other teams.
- Production deployments must remain controlled and predictable.
You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.
What should you recommend?

A) Create unmanaged solutions in production. Merge changes during deployment.
B) Create and maintain separate solutions in a single development environment. Deploy independently as managed solutions.
C) Make changes in a single solution. Deploy updates directly to production.
D) Create and maintain separate solutions in a separate development environment. Deploy independently as managed solutions.

4. A development team builds an Azure OpenAI application that generates business reports. The application occasionally produces incorrect facts even though the prompts are clear. The team wants to reduce inaccurate responses without retraining the model. Which approach should be used?

A) Increase GPU capacity
B) Reduce API request limits
C) Implement grounding with retrieved data
D) Replace JSON output with plain text

5. 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 JavaScript to dynamically show and hide columns.
Does the solution meet the goal?

A) No
B) Yes

Solutions: