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

AI-103 real exams

Exam Code: AI-103

Exam Name: Developing AI Apps and Agents on Azure

Updated: Sep 13, 2026

Q & A: 159 Questions and Answers

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Microsoft AI-103 Exam Syllabus Topics:

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

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question #1

You have a Microsoft Foundry project that contains an agent.
The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.
The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.
You plan to call Azure Content Understanding in Foundry Tools.
You need to extract content and layout elements and detect QR codes without requiring a language model deployment.
Which built-in analyzer should you use?

  • A. prebuilt-documentSearch
  • B. prebuilt-read
  • C. prebuilt-documentFieldSchema
  • D. prebuilt-layout
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

Drag and Drop Question
You have a web app that uses Azure AI Search.
When reviewing activity you see greater than expected search query volumes. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Enforces Read-Only Permissions: Query keys are specifically designed to provide read-only access to the documents collection of an index. Admin keys provide full read-write administrative privileges and should never be distributed to consumer-facing applications.
Zero Downtime: Azure AI Search lets you generate up to 50 individual query keys. Creating a new one allows the app to stay online throughout the entire key rotation process Reference:
https://learn.microsoft.com/en-us/azure/search/search-security-api-keys

Question #3

Hotspot Question
You have a Microsoft Foundry project that contains an internal Q&A agent.
Users report the following issues when they ask the agent questions:
- An increase in the following response: "No relevant information
found"
- Periodic HTTP 429 rate limit exceeded errors during peak hours
You need to identify whether each issue is caused by model unavailability, resource limits, or inference failures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:

Question #4

You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Summarizes documents that contain multiple sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?

  • A. abstractive summarization
  • B. extractive summarization
  • C. sentiment analysis
  • D. key phrase extraction
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

You have an Azure subscription that contains an Azure OpenAI resource.
You plan to build an agent by using the Azure AI Agent Service. The agent will perform the following actions:
- Interpret written and spoken questions from users.
- Generate answers to the questions.
- Output the answers as speech.
You need to create the project for the agent.
What should you use?

  • A. Speech Studio
  • B. Azure AI Foundry
  • C. the Azure portal
  • D. Language Studio
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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