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Updated: Aug 28, 2026

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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:

SectionWeightObjectives
Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Implement multimodal AI capabilities
  • 2. Configure content filters and safety
  • 3. Evaluate responses and grounding
- Develop generative AI applications
  • 1. Implement prompt engineering
  • 2. Use Azure OpenAI and Foundry models
  • 3. Build retrieval-augmented generation solutions
Plan and manage Azure AI solutions25-30%- Manage AI solution lifecycle
  • 1. Monitor model and application performance
  • 2. Apply responsible AI practices
  • 3. Implement CI/CD for AI applications
- Plan Azure AI resources
  • 1. Manage deployments and monitoring
  • 2. Configure authentication and security
  • 3. Select Azure AI services and Foundry resources
Implement agentic solutions20-25%- Manage agent operations
  • 1. Monitor and debug agents
  • 2. Implement scalable deployments
  • 3. Secure agent interactions
- Build AI agents
  • 1. Create autonomous and multi-agent workflows
  • 2. Configure memory and orchestration
  • 3. Integrate tools and external knowledge
Implement computer vision solutions10-15%- Analyze visual content
  • 1. Process images and video
  • 2. Implement OCR and visual understanding
  • 3. Use multimodal vision APIs
Implement text analysis and information extraction solutions10-15%- Analyze and extract information
  • 1. Use document intelligence services
  • 2. Extract entities and structured data
  • 3. Implement natural language processing

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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