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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

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

2. You need to recommend a solution to support the planned changes and technical requirements for Agent1 to use the product information stored in storage1.
What should you include in the recommendation?

A) Grounding with Bing Search
B) Azure Al Search
C) Azure Document Intelligence in Foundry Tools
D) Azure Translator in Foundry Tools

3. You have a Microsoft Foundry project that contains a workflow for a customer support triage process.
You have an Ask a question node that stores user responses in a local variable named Var01.
You need to create the following Power Fx expressions:
* An if/else condition expression that ensures that Var01 contains a value
* A Send message expression that returns the stored user response in uppercase How should you configure the expressions? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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

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

Solutions: