Microsoft AI-900 Exam Information and Actual Questions

  • Exam Code/Number: AI-900
  • Exam Name/Title: Microsoft Azure AI Fundamentals
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
  • Exam Questions: 336
  • Updated On: Jun 26, 2026

AI-900
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Microsoft
AI-900 Exam
Microsoft Azure AI Fundamentals

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All the information you need to pass Microsoft Azure AI Fundamentals AI-900 exam and free practice exam verified by ExamDiscuss exam experts.

Microsoft AI-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Certificate Validity Period:Does not expire (Fundamentals certification)
Exam Duration:85 minutes
Related Certifications:Microsoft Azure Data Fundamentals
Microsoft Azure Fundamentals
Microsoft Azure AI Engineer Associate
Exam Format:Multiple choice, Multiple response, Drag and drop, Case studies
Passing Score:700/1000
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil)
Real Exam Qty:40-60
Exam Price:USD 99 (varies by region)
Sample Questions:Microsoft AI-900 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required; basic understanding of cloud and AI concepts recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

Microsoft AI-900 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
Topic 2
  • Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
Topic 3
  • Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Topic 4
  • Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
Topic 5
  • Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine-learning techniques.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

The AI-900 exam covers a wide range of topics related to AI and ML, including the basics of data science, machine learning, natural language processing, computer vision, and more. Candidates will be tested on their understanding of various Azure AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service, and their ability to implement these services to develop intelligent solutions.

Earning the Microsoft AI-900 certification can be a significant advantage for individuals who want to work in AI-related roles or want to progress in their careers. Microsoft Azure AI Fundamentals certification demonstrates the individual's expertise in AI and machine learning concepts and their ability to apply them to business scenarios using Microsoft Azure services. Additionally, the certification can be useful for individuals who want to start their own AI-related businesses or want to contribute to the development of AI-based solutions in their organizations.

To pass the AI-900 exam, candidates need to demonstrate their knowledge of AI fundamentals and their ability to apply AI concepts to real-world scenarios. AI-900 exam consists of 40-60 multiple-choice and multiple-response questions, and candidates have 60 minutes to complete the exam. Microsoft recommends that candidates have some experience with Azure services and a basic understanding of programming concepts before taking the exam.



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