Microsoft Developing AI Apps and Agents on Azure AI-103 Certified Exam Dumps

AI-103 Exam Dumps

Microsoft Developing AI Apps and Agents on Azure AI-103 real exam questions and online practice test engine by FreeCram. Try AI-103 exam questions for free. You can also download a free demo of the AI-103 exam PDF version.

Microsoft's AI-103 actual exam materials brought to you by FreeCram group of Microsoft certification experts.
View all AI-103 actual exam questions & answers and explanations for free.

If you like our product, you can request full access to all the latest Microsoft Developing AI Apps and Agents on Azure AI-103 exam premium questions.

Certification Provider: Microsoft
Exam Code / Number: AI-103
Exam Name: Developing AI Apps and Agents on Azure
Exam Questions: 107
Last Updated: Jul 16, 2026
Corresponding Certification: Azure AI Engineer Associate

Go To AI-103 Questions

(366 Up Votes)

Microsoft AI-103 Exam Syllabus Topics:

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


0
0
0
10