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Microsoft Azure AI Engineer Associate AI-103

AI-103

Exam Code: AI-103

Exam Name: Developing AI Apps and Agents on Azure

Updated: Sep 02, 2026

Q & A: 159 Questions and Answers

AI-103 Free Demo download:

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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement information extraction and knowledge mining10–15%- 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. Create and manage vector indexes
  • 3. Implement Azure AI Search
Topic 2: Implement computer vision solutions10–15%- Build multimodal solutions
  • 1. Process and analyze video content
  • 2. Combine vision and language capabilities
- 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
Topic 3: Implement text and speech analysis solutions10–15%- Implement natural language processing
  • 1. Use Azure AI Language services
  • 2. Perform sentiment analysis, entity recognition, and summarization
  • 3. Build conversational language understanding
- Implement speech capabilities
  • 1. Speech translation and speaker recognition
  • 2. Speech-to-text and text-to-speech integration
Topic 4: 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. Implement prompt engineering and optimization
  • 4. Integrate Azure OpenAI and other models
- Design and implement intelligent agents
  • 1. Implement multi-agent workflows and orchestration
  • 2. Integrate agents with external systems and data sources
  • 3. Select agent architecture patterns
  • 4. Manage state, memory, and context
Topic 5: Plan and manage Azure AI solutions25–30%- Design Azure AI infrastructure
  • 1. Design for scalability, availability, and cost optimization
  • 2. Plan for security, compliance, and responsible AI
  • 3. Select appropriate Azure AI Foundry services
- Manage AI solution development lifecycle
  • 1. Integrate with CI/CD pipelines
  • 2. Configure model and agent deployments
  • 3. Monitor and maintain AI workloads

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question 1

You have a Microsoft Foundry project that contains a model deployment.
You have an application that calls the deployment by using the Azure OpenAI v1 API and DefaultAzureCredential.
The developers at your company receive HTTP 403 errors when they send inference requests, even after running az login.
You need to ensure that the developers can perform model inference. The solution must follow the principle of least privilege.
Which role-based access control (RBAC) role should you assign to the developers?

A. Contributor
B. Cognitive Services User
C. Cognitive Services Data Reader
D. Cognitive Services OpenAI User


Question 2

You have an Azure subscription that contains an Azure OpenAI resource.
You need to build an app that will suggest product names from a given product description.
Which model should you use?

A. GPT-4
B. embeddings
C. Whisper
D. DALL-E


Question 3

You have an Azure subscription.
You plan to build an app that will use the Azure OpenAI DALL-E model.
You need to deploy the model.
What should you use?

A. the Azure portal and Microsoft Graph API
B. Azure AI Studio and Azure Command-Line Interface (CLI)
C. the Azure SDK for Python and PowerShell cmdlets
D. the Azure SDK for JavaScript and Azure Machine Learning Studio


Question 4

You are developing an app that will perform a sentiment analysis of social media posts by using the Azure AI Language service.
You perform a test on a sample post.
You need to quantify the results of the test.
Which JSON property should you review?

A. confidenceScores
B. sentiment
C. relations
D. confidenceThreshold


Question 5

You have a Microsoft Foundry project that contains an agent for a customer support chat app.
The agent uses a memory store and a memory search tool.
You need to ensure that the conversation history does NOT persist across separate sessions.
To what should you set the scope of the memory tool?

A. {{$conversationId}}
B. {{$userId}}
C. session
D. global


Solutions:

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

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