Updated: Aug 31, 2026
No. of Questions: 159 Questions & Answers with Testing Engine
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure |
| Exam Number: | AI-103 |
| Exam Format: | Case study, Scenario-based, Hands-on labs, Multiple choice |
| Available Languages: | English |
| Certificate Validity Period: | 1 year |
| Related Certifications: | Microsoft Certified: Azure AI Apps and Agents Developer Associate |
| Exam Price: | $165 USD |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 |
| Sample Questions: | Microsoft AI-103 Sample Questions |
| Exam Way: | Online proctored or test center |
| Pre Condition: | Experience with Python programming and familiarity with Azure AI services, generative AI, and Microsoft Foundry is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103 |
| Section | Weight | Objectives |
|---|---|---|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
Question 1
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. Increase the prompt guidance strength.
B. Rerun the prompt by using a different random seed.
C. Modify the original prompt to exclude brand names.
D. Apply a mask-based inpainting edit to the part of the image that contains the logo.
Question 2
You have a Microsoft Foundry project that serves a high-volume chat app.
Most requests are simple FAQs, but some require advanced reasoning.
You need to reduce costs and latency for common queries, without degrading the quality of the responses to complex questions.
What should you do?
A. Use a model cascade that routes the requests to different models.
B. Increase the value of the max_tokens parameter for all the requests.
C. Route all the requests to the most capable model.
D. Route all the requests to a smaller model.
Question 3
Hotspot Question
You have a Python application collects customer comments before posting them to a public forum.
You need to send a text comment to Azure AI Content Safety and return the self-harm severity from the response.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 4
You plan to build an agent that will combine and process multiple files uploaded by users.
You are evaluating whether to use the Azure AI Agent Service to develop the agent.
What is the maximum size of all the files that can be uploaded to the service?
A. 1 TB
B. 1 GB
C. 100 GB
D. 10 GB
Question 5
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. Configure a connected agent for AI1.
B. Create a plugin for the incident manager agent.
C. Create a plugin for the DevOps agent.
D. Configure prompt flow for AI1.
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: Only visible for members | Question 4 Answer: C | Question 5 Answer: A |
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