Microsoft Developing AI Apps and Agents on Azure - AI-103

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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. A multimodal agent processes user-uploaded images. An attacker embeds hidden text instructions inside an image, hoping the agent will read and act on them. Which Azure AI Content Safety capability is designed to detect this kind of attack?

A) Disabling the agent's file search tool
B) A content filter set to High severity for the Violence category
C) Prompt Shields, which detects document and indirect prompt injection
D) Raising the image resolution threshold on the analyser

2. You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Summarizes documents that contain multiple sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?

A) key phrase extraction
B) sentiment analysis
C) extractive summarization
D) abstractive summarization

3. You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?

A) a project scope key
B) a SASCredentials object
C) a connection string
D) an AIProjectClient object

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

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

Solutions: