200+ Free Azure AI-900 Practice Questions
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Key Facts: Azure AI-900 Exam
700/1000
Passing Score
Microsoft
40-60
Questions
Microsoft
60 min
Time Limit
Microsoft
$99
Exam Fee
USD
20-30 hrs
Study Time
Recommended
5
Exam Domains
Microsoft
About the Azure AI-900 Exam
Foundational certification for AI and machine learning concepts on Microsoft Azure. Tests knowledge of AI workloads, machine learning principles, computer vision, NLP, and generative AI.
Questions
40 scored questions
Time Limit
60 minutes
Passing Score
700/1000
Exam Fee
$99 USD (Microsoft)
Azure AI-900 Exam Content Outline
AI Workloads and Considerations
Common AI workloads, responsible AI principles
Machine Learning on Azure
Core ML concepts, Azure ML capabilities
Computer Vision
Image analysis, object detection, facial recognition, OCR
Natural Language Processing
Text analysis, language understanding, speech
Generative AI
Azure OpenAI, Copilots, prompt engineering
How to Pass the Azure AI-900 Exam
What You Need to Know
- Passing score: 700/1000
- Exam length: 40 questions
- Time limit: 60 minutes
- Exam fee: $99 USD
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
Azure AI-900 Study Tips from Top Performers
Frequently Asked Questions
What is the Azure AI-900 exam?
The Azure AI-900 (Microsoft Azure AI Fundamentals) is an entry-level certification that validates your understanding of AI and machine learning concepts, and how they are implemented on Microsoft Azure. It covers AI workloads, responsible AI principles, computer vision, natural language processing, and generative AI.
How many questions are on the AI-900 exam?
The AI-900 exam contains 40-60 multiple-choice and multiple-select questions. You have 60 minutes to complete the exam. The passing score is 700 out of 1000.
How long should I study for Azure AI-900?
Most candidates need 20-30 hours of study over 2-4 weeks to prepare for the AI-900 exam. If you have prior experience with AI/ML concepts or Azure, you may need less time. Focus on understanding the six responsible AI principles and Azure AI service capabilities.
What topics are covered on the AI-900 exam?
The AI-900 exam covers five main areas: AI workloads and considerations (15-20%), fundamental ML principles on Azure (15-20%), computer vision workloads (15-20%), NLP workloads (15-20%), and generative AI workloads (20-25%). The generative AI section was expanded in 2024-2025.
Is Azure AI-900 worth it?
Yes, the Azure AI-900 is valuable for anyone looking to demonstrate foundational AI knowledge, especially those pursuing roles in AI development, data science, or cloud architecture. It is a good stepping stone to the more advanced Azure AI Engineer Associate (AI-102) certification.
What is the difference between AI-900 and AI-102?
AI-900 is a fundamentals-level exam testing conceptual knowledge of AI and Azure AI services. AI-102 is an associate-level exam requiring hands-on experience building, managing, and deploying AI solutions on Azure. AI-900 is recommended before attempting AI-102.