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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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?

A) Modify the original prompt to exclude brand names.
B) Apply a mask-based inpainting edit to the part of the image that contains the logo.
C) Increase the prompt guidance strength.
D) Rerun the prompt by using a different random seed.

2. You have a Microsoft Foundry project that contains an agent. The agent uses Azure Al Search as the retriever.
You plan to ingest PDFs into an Azure Al Search index to ensure that the agent can ground responses in texts in both documents and embedded images.
Users require citations that link to the source files.
You need to ensure that during indexing, the images are extracted into a structure that can be used as input for the built-in optical character recognition (OCR) skill.
Which indexing approach should you use?

A) a Shaper skill to restructure the OCR input
B) the outputFieldMappings parameter to write image data to a searchable field
C) a skillset to run the OCR skill directly against the content field of the index
D) an indexer to extract image data into a normalized_images collection

3. 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?

A) No
B) Yes

4. 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?

A) Decrease the value of the temperature parameter.
B) Set the input_fidelity parameter to high.
C) Apply a groundedness detection filter.
D) Include a prompt and input image in the request.

5. You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements.
What should you do?

A) Modify the system message instructions.
B) Apply top-p sampling.
C) Add few-shot examples.
D) Increase the value of the temperature parameter.

Solutions: