Microsoft Azure AI Engineer Associate AI-103

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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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 multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure a prompt shield for user prompts.
Does this meet the goal?

A) No
B) Yes

2. You have an Azure subscription that contains an Azure OpenAI resource.
You deploy the GPT-4 model to the resource.
You need to ensure that you can upload files that will be used as grounding data for the model.
Which two types of resources should you create? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Azure Blob Storage
B) Azure AI Document Intelligence
C) Azure SQL
D) Azure AI Bot Service
E) Azure AI Search

3. You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generative answers to specific questions.
You need to ensure that questions intended to circumvent built-in safety features are blocked.
Which Azure AI Content Safety feature should you implement?

A) Monitor online activity
B) Moderate text content
C) Protected material text detection
D) Prompt Shields

4. A copilot must answer multi-part questions that depend on earlier turns in the conversation. You want the system to break each complex question into focused subqueries, run them in parallel, and semantically rerank the results before composing an answer. Which Azure AI Search capability provides this?

A) Classic keyword search with a scoring profile
B) A single vector query with a high similarity threshold
C) Increasing the top-k value on a single keyword query
D) Agentic retrieval

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) Modify the original prompt to exclude brand names.
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) Increase the prompt guidance strength.

Solutions: