AI-103 Practice Questions — Page 5

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.

After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.

Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.

You need to improve response completeness.

Solution: You increase the value of the max_tokens parameter.

Does this meet the goal?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.

After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.

Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.

You need to improve response completeness.

Solution: You add a reflection pass that regenerates the response if the required clauses are missing.

Does this meet the goal?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.

After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.

Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.

You need to improve response completeness.

Solution: You increase the value of the temperature parameter.

Does this meet the goal?

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.

After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.

Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.

You need to improve response completeness.

Solution: You run an evaluation flow that scores responses for completeness and blocks responses that fall below a defined threshold.

Does this meet the goal?

You are creating an image-editing workflow in a Microsoft Foundry project.

The workflow must meet the following requirements:

Ensure that background objects can be removed by applying a mask-based inpainting edit.

Preserve the original lighting and style of the edited images.

Use the built-in image editing controls, NOT a custom model.

You need to ensure that image edits apply exclusively inside the masked area.

How should you configure the workflow?

You have a Microsoft Foundry project that generates product marketing images from text prompts.

After publishing several images, the legal team at your company identifies a competitor’s logo on a sign in the background of an image.

You need to remove only the logo, while preserving the rest of the image.

What should you do?

You have a Microsoft Foundry project that contains an agent.

The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.

The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.

You plan to call Azure Content Understanding in Foundry Tools.

You need to extract content and layout elements and detect QR codes without requiring a language model deployment.

Which built-in analyzer should you use?

You have a Microsoft Foundry project that contains an agent and an image generation model deployment.

The agent generates original images from user-supplied product photos.

You need to ensure that the generated images maintain the product identity and visual characteristics of the provided photo.

What should you do?

You have a Microsoft Foundry project that contains an agent.

The agent accepts user-uploaded screenshots and uses a multimodal chat model.

Some screenshots contain potentially malicious embedded text.

You need to prevent a prompt injection attack and ensure that third-party content is treated as lower trust.

How should you configure prompt shields for document attacks? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.