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Download Microsoft : AI-103 Questions & Answers as PDF & Test Software

Updated: Aug 31, 2026

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Microsoft AI-103 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Apps and Agents on Azure
Exam Number:AI-103
Exam Format:Case study, Scenario-based, Hands-on labs, Multiple choice
Available Languages:English
Certificate Validity Period:1 year
Related Certifications:Microsoft Certified: Azure AI Apps and Agents Developer Associate
Exam Price:$165 USD
Exam Duration:100 minutes
Real Exam Qty:40-60
Passing Score:700
Sample Questions:Microsoft AI-103 Sample Questions
Exam Way:Online proctored or test center
Pre Condition:Experience with Python programming and familiarity with Azure AI services, generative AI, and Microsoft Foundry is recommended.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103

Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Implement agentic solutions20-25%- Manage agent operations
  • 1. Monitor and debug agents
  • 2. Secure agent interactions
  • 3. Implement scalable deployments
- Build AI agents
  • 1. Integrate tools and external knowledge
  • 2. Create autonomous and multi-agent workflows
  • 3. Configure memory and orchestration
Implement generative AI solutions25-30%- Optimize and evaluate models
  • 1. Evaluate responses and grounding
  • 2. Implement multimodal AI capabilities
  • 3. Configure content filters and safety
- Develop generative AI applications
  • 1. Implement prompt engineering
  • 2. Use Azure OpenAI and Foundry models
  • 3. Build retrieval-augmented generation solutions
Implement computer vision solutions10-15%- Analyze visual content
  • 1. Use multimodal vision APIs
  • 2. Process images and video
  • 3. Implement OCR and visual understanding
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. Select Azure AI services and Foundry resources
  • 2. Configure authentication and security
  • 3. Manage deployments and monitoring
- Manage AI solution lifecycle
  • 1. Apply responsible AI practices
  • 2. Monitor model and application performance
  • 3. Implement CI/CD for AI applications

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question 1

You have a Microsoft Foundry project that generates product marketing images from text prompts.
After publishing several images, the legal team at your company identifies a competitor's logo on a sign in the background of an image.
You need to remove only the logo, while preserving the rest of the image.
What should you do?

A. Increase the prompt guidance strength.
B. Rerun the prompt by using a different random seed.
C. Modify the original prompt to exclude brand names.
D. Apply a mask-based inpainting edit to the part of the image that contains the logo.


Question 2

You have a Microsoft Foundry project that serves a high-volume chat app.
Most requests are simple FAQs, but some require advanced reasoning.
You need to reduce costs and latency for common queries, without degrading the quality of the responses to complex questions.
What should you do?

A. Use a model cascade that routes the requests to different models.
B. Increase the value of the max_tokens parameter for all the requests.
C. Route all the requests to the most capable model.
D. Route all the requests to a smaller model.


Question 3

Hotspot Question
You have a Python application collects customer comments before posting them to a public forum.
You need to send a text comment to Azure AI Content Safety and return the self-harm severity from the response.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question 4

You plan to build an agent that will combine and process multiple files uploaded by users.
You are evaluating whether to use the Azure AI Agent Service to develop the agent.
What is the maximum size of all the files that can be uploaded to the service?

A. 1 TB
B. 1 GB
C. 100 GB
D. 10 GB


Question 5

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


Solutions:

Question 1
Answer: D
Question 2
Answer: A
Question 3
Answer: Only visible for members
Question 4
Answer: C
Question 5
Answer: A

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