Microsoft AI-103 real exam prep : Developing AI Apps and Agents on Azure

  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Sep 01, 2026
  • Q&As: 159 Questions and Answers

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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Implement text and speech analysis solutions10–15%- Implement speech capabilities
  • 1. Speech-to-text and text-to-speech integration
  • 2. Speech translation and speaker recognition
- Implement natural language processing
  • 1. Perform sentiment analysis, entity recognition, and summarization
  • 2. Build conversational language understanding
  • 3. Use Azure AI Language services
Implement computer vision solutions10–15%- Implement image analysis and processing
  • 1. Use Azure AI Vision services
  • 2. Implement object detection and image classification
  • 3. Extract text and structure from images
- Build multimodal solutions
  • 1. Process and analyze video content
  • 2. Combine vision and language capabilities
Plan and manage Azure AI solutions25–30%- Manage AI solution development lifecycle
  • 1. Monitor and maintain AI workloads
  • 2. Integrate with CI/CD pipelines
  • 3. Configure model and agent deployments
- Design Azure AI infrastructure
  • 1. Select appropriate Azure AI Foundry services
  • 2. Design for scalability, availability, and cost optimization
  • 3. Plan for security, compliance, and responsible AI
Implement generative AI and agentic solutions30–35%- Build generative AI applications
  • 1. Build retrieval-augmented generation (RAG) solutions
  • 2. Implement function calling and tool use
  • 3. Integrate Azure OpenAI and other models
  • 4. Implement prompt engineering and optimization
- Design and implement intelligent agents
  • 1. Integrate agents with external systems and data sources
  • 2. Select agent architecture patterns
  • 3. Implement multi-agent workflows and orchestration
  • 4. Manage state, memory, and context
Implement information extraction and knowledge mining10–15%- Build knowledge bases and search solutions
  • 1. Create and manage vector indexes
  • 2. Design knowledge mining pipelines
  • 3. Implement Azure AI Search
- Extract structured data from documents
  • 1. Use Azure AI Document Intelligence
  • 2. Process forms, invoices, and unstructured content

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question 1

You have a Microsoft Foundry project that contains three agents as shown in the following table.

You need to orchestrate the agents to ensure that the customer requests meet the following requirements:
- Support a deterministic, step-based process that uses conditional
branching and shared state across the agents.
- Optionally trigger a ticket action based on the triage result.
The solution must minimize development effort.
What should you include in the solution?

A. separate agent runs coordinated in the application code
B. a workflow
C. a multi-agent group chat session
D. threads and runs without a workflow


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 user prompts.
Does this meet the goal?

A. Yes
B. No


Question 3

You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

A. Azure Machine Learning
B. Azure AI Language
C. Azure AI Document Intelligence
D. Azure OpenAI


Question 4

You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?

A. a SASCredentials object
B. a project scope key
C. an AIProjectClient object
D. a connection string


Question 5

A team wants to deploy a model from the Foundry catalogue with the fastest possible setup, pay only for the tokens they consume, and avoid provisioning any virtual machine (VM) quota. Which deployment option fits?

A. Serverless API deployment, also called models as a service (MaaS)
B. Self-hosted deployment on Azure Kubernetes Service
C. A local container running on a developer workstation
D. Managed compute (managed endpoint) deployment


Solutions:

Question 1
Answer: B
Question 2
Answer: A
Question 3
Answer: D
Question 4
Answer: D
Question 5
Answer: A

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