Microsoft Developing AI Apps and Agents on Azure : AI-103

Exam Code: AI-103
Exam Name: Developing AI Apps and Agents on Azure
Updated: Oct 22, 2026
Q & A: 159 Questions and Answers

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Microsoft AI-103 Exam Syllabus Topics:

Section	Weight	Objectives
Implement information extraction and knowledge mining	10–15%	- Extract structured data from documents 1. Use Azure AI Document Intelligence 2. Process forms, invoices, and unstructured content - Build knowledge bases and search solutions 1. Design knowledge mining pipelines 2. Implement Azure AI Search 3. Create and manage vector indexes
Plan and manage Azure AI solutions	25–30%	- Design Azure AI infrastructure 1. Plan for security, compliance, and responsible AI 2. Select appropriate Azure AI Foundry services 3. Design for scalability, availability, and cost optimization - Manage AI solution development lifecycle 1. Monitor and maintain AI workloads 2. Integrate with CI/CD pipelines 3. Configure model and agent deployments
Implement computer vision solutions	10–15%	- Build multimodal solutions 1. Process and analyze video content 2. Combine vision and language capabilities - Implement image analysis and processing 1. Implement object detection and image classification 2. Extract text and structure from images 3. Use Azure AI Vision services
Implement text and speech analysis solutions	10–15%	- Implement speech capabilities 1. Speech translation and speaker recognition 2. Speech-to-text and text-to-speech integration - Implement natural language processing 1. Use Azure AI Language services 2. Perform sentiment analysis, entity recognition, and summarization 3. Build conversational language understanding
Implement generative AI and agentic solutions	30–35%	- Build generative AI applications 1. Integrate Azure OpenAI and other models 2. Implement prompt engineering and optimization 3. Build retrieval-augmented generation (RAG) solutions 4. Implement function calling and tool use - Design and implement intelligent agents 1. Implement multi-agent workflows and orchestration 2. Manage state, memory, and context 3. Select agent architecture patterns 4. Integrate agents with external systems and data sources

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question #1

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 prompt flow for AI1.
B. Create a plugin for the incident manager agent.
C. Create a plugin for the DevOps agent.
D. Configure a connected agent for AI1.

Reveal Solution Discussion 0

Correct Answer: D 🗳️