Microsoft AI-103 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure |
| Exam Number: | AI-103 |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Apps and Agents Developer Associate |
| Exam Duration: | 100 minutes |
| Certificate Validity Period: | 1 year |
| Available Languages: | English |
| Passing Score: | 700 |
| Exam Price: | $165 USD |
| Exam Format: | Hands-on labs, Scenario-based, Multiple choice, Case study |
| 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 |
Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 25-30% | - Optimize and evaluate models
|
| Plan and manage Azure AI solutions | 25-30% | - Manage AI solution lifecycle
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Question 1
You have a factory that contains a production line.
You need to develop a solution that will analyze a video feed to detect and track the movement of employees as they work on the production line.
Which service should you include in the solution?
A. Azure AI Face
B. Azure Vision in Foundry Tools Image Analysis
C. Azure AI Video Indexer
D. Azure Vision in Foundry Tools Spatial Analysis
Question 2
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 documents.
Does this meet the goal?
A. Yes
B. No
Question 3
Hotspot Question
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
- Use a single key and endpoint to access multiple services.
- Consolidate billing for future services that you might use.
- Support the use of Azure Vision in Foundry Tools in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 4
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 add a reflection pass that regenerates the response if the required clauses are missing.
Does this meet the goal?
A. Yes
B. No
Question 5
You have a Microsoft Foundry project that contains an agent.
You need to process mixed-format documents that contain scanned text, tables, and multicolumn layouts. The extracted content must preserve the document structure and be converted into the Markdown format for downstream reasoning.
What should you configure first?
A. a generative chat completion request
B. an Azure OpenAI Responses API call that uses a multimodal model
C. an Azure Language in Foundry Tools text analysis model deployment
D. an Azure Content Understanding in Foundry Tools analyzer
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: Only visible for members | Question 4 Answer: A | Question 5 Answer: D |
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By Zebulon

