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Microsoft AI-103 dumps - in .pdf

AI-103 pdf
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 29, 2026
  • Q & A: 159 Questions and Answers
  • Convenient, easy to study.
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  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Aug 29, 2026
  • Q & A: 159 Questions and Answers
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  • Exam Name: Developing AI Apps and Agents on Azure
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Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan and manage Azure AI solutions25–30%- Manage AI solution development lifecycle
  • 1. Integrate with CI/CD pipelines
  • 2. Monitor and maintain AI workloads
  • 3. Configure model and agent deployments
- Design Azure AI infrastructure
  • 1. Plan for security, compliance, and responsible AI
  • 2. Design for scalability, availability, and cost optimization
  • 3. Select appropriate Azure AI Foundry services
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. Implement object detection and image classification
  • 2. Use Azure AI Vision services
  • 3. Extract text and structure from images
Topic 3: Implement generative AI and agentic solutions30–35%- Build generative AI applications
  • 1. Implement prompt engineering and optimization
  • 2. Integrate Azure OpenAI and other models
  • 3. Build retrieval-augmented generation (RAG) solutions
  • 4. Implement function calling and tool use
- Design and implement intelligent agents
  • 1. Select agent architecture patterns
  • 2. Integrate agents with external systems and data sources
  • 3. Manage state, memory, and context
  • 4. Implement multi-agent workflows and orchestration
Topic 4: 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
Topic 5: 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 are developing an application that will use Azure AI Search for internal documents.
You need to implement document-level filtering for Azure AI Search.
Which three actions should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Supply the groups as a filter for the search requests
B. Create one index per group.
C. Retrieve all the groups.
D. Retrieve the group memberships of the user
E. Add allowed groups to each index entry
F. Send access tokens from Microsoft Entra ID, with the search request.


Question 2

You have an app named App1 that uses a Microsoft Foundry multimodal model deployment.
App1 runs optical character recognition (OCR) on uploaded images and appends the OCR output to the prompt as additional context.
Some uploaded images contain embedded text.
You need to prevent potentially malicious instructions from being processed by the model.
What should you use?

A. protected material text
B. prompt shields for documents
C. prompt shields for user prompts
D. image moderation


Question 3

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

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


Question 4

Hotspot Question
You have a Microsoft Foundry project that contains a workflow for a customer support triage process.
You have an Ask a question node that stores user responses in a local variable named Var01.
You need to create the following Power Fx expressions:
- An if/else condition expression that ensures that Var01 contains a
value
- A Send message expression that returns the stored user response in
uppercase
How should you configure the expressions? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question 5

Hotspot Question
You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure AI Content Safety must access the images by using the blob URL.
The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Solutions:

Question 1
Answer: A,D,E
Question 2
Answer: B
Question 3
Answer: D
Question 4
Answer: Only visible for members
Question 5
Answer: Only visible for members

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