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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have a Microsoft Foundry project.
You plan to build a customer support solution that contains an agent. The solution must meet the following requirements:
* Provide accurate, context-aware responses grounded in internal product documentation stored in Azure AI Search.
* Require deep, multi-step reasoning across long contexts.
* Generate detailed natural language responses.
Which type of model should you use to power the agent?

A) a key phrase extraction model
B) a multimodal model
C) a large language model (LLM)
D) a small language model (SLM)

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

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

4. 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?

A) Set generation mode to image_variation and provide the original image as a reference.
B) Enable image_to_image mode and a high-strength value to regenerate the full image based on the prompt.
C) Enable text_to_image mode and a prompt describing the desired background removal.
D) Enable mask_inpainting and supply both the input image and a mask indicating which part of the image to modify.

5. You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

A) Use blocklists.
B) Enable prompt shields.
C) Implement image moderation.
D) Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.

Solutions: