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| Name: | Developing AI Apps and Agents on Azure |
| Exam Code: | AI-103 |
| Certification: | Azure AI Engineer Associate |
| Vendor: | Microsoft |
| Total Questions: | 67 |
| Last Updated: | Aug 13, 2026 |
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?
You are planning a Microsoft Foundry project named Project1 that will contain multiple agents. Each agent
will access the same
Azure Al Search resource.
You need to recommend a solution to centrally manage the Azure Al Search credentials within Project1. The
solution must be
implemented across all the agents.
What should you recommend?
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 Al 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 documents.
Does this meet the goal?
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?
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?