AI-900 Practice Exams | 130 MCQs
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Microsoft AI-900 Practice Tests | Azure AI Fundamentals (Practice Tests 1 & 2)
Prepare for the Microsoft AI-900: Azure AI Fundamentals certification with high-quality practice tests designed to strengthen your understanding of core AI concepts and improve your exam readiness.
Practice Test 1 focuses on AI workloads and Responsible AI. You'll answer questions covering Computer Vision, Natural Language Processing (NLP), Azure AI Document Intelligence, Generative AI, and Microsoft's Responsible AI principles, including Fairness, Reliability, Privacy & Security, Inclusiveness, Transparency, and Accountability. These scenario-based questions help you understand how AI technologies are applied in real-world business situations.
Practice Test 2 covers the essential concepts of Machine Learning. You'll practice questions on Regression, Classification, Clustering, Deep Learning, Transformers, Training vs. Validation datasets, Feature Engineering, model evaluation, and common machine learning workflows. The questions are designed to reinforce fundamental concepts rather than simple memorization.
Each practice test includes carefully written multiple-choice questions with detailed explanations for every answer, helping you understand both why the correct answer is right and why the other options are not. Whether you're preparing for the AI-900 certification, exploring Azure AI services, or building a strong foundation in artificial intelligence and machine learning, these practice tests provide a practical way to assess your knowledge, identify weak areas, and build confidence before taking the certification exam.
No prior experience with Microsoft Azure or Artificial Intelligence is required.
Basic computer skills and familiarity with using a web browser are recommended.
A willingness to learn Azure AI Fundamentals and prepare for the Microsoft AI-900 certification exam.
Prepare confidently for the Microsoft AI-900: Azure AI Fundamentals certification exam using realistic practice tests.
Strengthen your understanding of AI workloads, including Computer Vision, Natural Language Processing (NLP), Document Intelligence, and Generative AI
Learn Microsoft's Responsible AI principles, including Fairness, Privacy & Security, Transparency, Accountability, Inclusiveness, and Reliability.
Master core Machine Learning concepts such as Regression, Classification, Clustering, Deep Learning, Transformers, Feature Engineering, and Training vs. Validat
Anyone preparing for the Microsoft AI-900: Azure AI Fundamentals certification exam.
Beginners who want to learn the fundamentals of Artificial Intelligence and Azure AI services.
Students looking to assess their knowledge with realistic AI-900 practice exams.




