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. Drag and Drop Question
You have a Microsoft Foundry project that contains a customer support agent grounded in internal documentation.
After a recent update, users report the following issues:
- Some answers are unsupported by retrieved documents.
- A small number of responses are flagged for policy violations.
You need to evaluate each issue.
Which observability signals should you use for each issue? To answer, drag the appropriate observability signals to the correct issues. Each observability signal may be used once, more than once, or not at all. You may need to drag the spit bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

2. 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) Increase the prompt guidance strength.
D) Apply a mask-based inpainting edit to the part of the image that contains the logo.

3. You have a Microsoft Foundry project that contains an agent and uses a GitHub repository. The repository contains a YAM file named File1 that defines the evaluation settings of the agent. You need to create a GitHub Actions workflow that runs the evaluation defined in File1 when a pull request (PR) is opened. How should you configure the workflow?

A) Set project-endpoint to the endpoint of the project.
B) Set tenant-id to the Microsoft Entra tenant ID
C) Set model-deployment-name to the deployed model.
D) Set evaluation-config to the path of the YAML file.

4. You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

A) Azure AI Document Intelligence
B) Azure AI Language
C) Azure Machine Learning
D) Azure OpenAI

5. You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned.
What should you do?

A) Replace the model with a smaller deployment.
B) Increase the value of the presence_penalty parameter
C) Decrease the value of the temperature parameter.
D) Add a retry evaluation before the responses are returned.

Solutions: