Microsoft Designing and Implementing an Azure AI Solution : AI-100

AI-100 real exams

Exam Code: AI-100

Exam Name: Designing and Implementing an Azure AI Solution

Updated: Aug 14, 2026

Q & A: 163 Questions and Answers

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What is the duration of the AI-100 Exam

  • Format: Multiple choices, multiple answers
  • Passing Score: 700/1000
  • Number of Questions: 45-55
  • Length of Examination: 120 minutes

Designing and Implementing an Azure AI Solution AI-100 Exam

Designing and Implementing an Azure AI Solution AI-100 Exam which is related to Microsoft Azure AI Solution and credits toward Microsoft Certified Azure AI Engineer Associate certifications. This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio. Candidate must have a strong understanding of basic statistics, data ethics, data privacy, various aspects of the Microsoft Azure AI portfolio, related open source frameworks and technologies, and available data storage options. This exam verifies the Candidates have the ability to use their knowledge of cost models, capacity, and best practices to architect and implement Artificial Intelligence (AI) Solution using Microsoft Azure.

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Languages: English, Japanese, Chinese (Simplified), Korean

This exam measures your ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

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Microsoft AI-100 Exam Syllabus Topics:

SectionWeightObjectives
Design AI Solutions40-45%- Design natural language processing solutions
  • 1. Translation solutions
  • 2. Text analytics solutions
  • 3. Language understanding solutions
- Design conversational AI solutions
  • 1. Conversational workflows
  • 2. Knowledge integration
  • 3. Bot architecture
- Design computer vision solutions
  • 1. OCR and text extraction solutions
  • 2. Object detection solutions
  • 3. Image classification solutions
Analyze Solution Requirements25-30%- Analyze AI workloads
  • 1. Determine data requirements
  • 2. Select appropriate Azure AI services
  • 3. Identify business requirements
Implement and Monitor AI Solutions25-30%- Implement AI services
  • 1. Configure security and authentication
  • 2. Deploy Azure Cognitive Services
  • 3. Integrate AI APIs and SDKs
- Monitor and optimize solutions
  • 1. Performance monitoring
  • 2. Logging and diagnostics
  • 3. Model and service optimization

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