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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 25-30% | - Develop generative AI applications
|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Question 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 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 run an evaluation flow that scores responses for completeness and blocks responses that fall below a defined threshold.
Does this meet the goal?
A. Yes
B. No
Question 2
You have a Microsoft Foundry project that contains a model deployment.
You have an application that calls the deployment by using the Azure OpenAI v1 API and DefaultAzureCredential.
The developers at your company receive HTTP 403 errors when they send inference requests, even after running az login.
You need to ensure that the developers can perform model inference. The solution must follow the principle of least privilege.
Which role-based access control (RBAC) role should you assign to the developers?
A. Cognitive Services OpenAI User
B. Contributor
C. Cognitive Services User
D. Cognitive Services Data Reader
Question 3
You have a Microsoft Foundry project that generates short promotional product videos.
After several clips are approved, reviewers notice a small watermark in the top-right corner of some videos.
You need to remove the watermark without regenerating the videos.
What should you do?
A. Crop the video by using the size parameter.
B. Apply a mask-based inpainting edit to the affected part of the video.
C. Modify the original prompt to exclude watermarks.
D. Increase the guidance scale.
Question 4
You have an Azure subscription that contains an Azure Al Foundry instance named AI1.
You have an app that automatically triages and resolves issues presented in the log files of a system.
You create an incident manager agent and a DevOps agent that collaborate to resolve the issues.
You need to ensure that the incident manager agent can assign work to the DevOps agent. The solution must minimize development effort.
What should you do?
A. Create a plugin for the incident manager agent.
B. Create a plugin for the DevOps agent.
C. Configure a connected agent for AI1.
D. Configure prompt flow for AI1.
Question 5
You are planning a Microsoft Foundry project named Project1 that will contain multiple agents.
Each agent will access the same Azure AI Search resource.
You need to recommend a solution to centrally manage the Azure AI Search credentials within Project1. The solution must be implemented across all the agents.
What should you recommend?
A. Enable role-based access control (RBAC) for the Azure AI Search resource.
B. Add a connection to the Azure AI Search resource.
C. Create a managed private endpoint that connects to the Azure AI Search resource.
D. Disable key-based access control on the Azure AI Search resource.
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: B |




