AI-900: Azure AI Fundamentals Practice Exams 2026 (6 Sets)

Are you preparing for the Microsoft Azure AI Fundamentals (AI-900) exam and looking for high-quality practice questions to test your knowledge?

Welcome to this comprehensive practice test suite for the Microsoft AI-900: Azure AI Fundamentals exam. Featuring 6 full-length practice tests with 360 unique, scenario-based questions, this course is designed to simulate the exam environment, help you identify knowledge gaps, and build your confidence before test day.

Why Take This Practice Test Course?

• Aligned with the 2026 AI-900 Exam Blueprint: Questions reflect the latest Microsoft curriculum domains, including Generative AI workloads, Azure OpenAI Service, prompt engineering fundamentals, and Content Safety.

• 360 Scenario-Based Questions: Features realistic single-choice and multi-select question formats reflecting the style of questions tested on the exam.

• Detailed Technical Explanations: Every question includes an in-depth explanation breaking down why the correct answer is right and why alternative choices are incorrect, along with official reference links.

• Domain Categorization: Questions are organized across all five official exam domains so you can track your strengths and pinpoint areas needing review.

• Timed Test Simulation: Experience realistic 60-minute time limits and a 70% passing threshold to practice time management effectively.

Full Coverage of All 5 AI-900 Exam Domains:

1. Describe Artificial Intelligence workloads and considerations (15-20%):

Responsible AI principles (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability), anomaly detection, forecasting, and conversational AI.

2. Describe fundamental principles of machine learning on Azure (15-20%):

Regression, classification, clustering, deep learning fundamentals, Azure Machine Learning Studio, Automated ML, and Designer pipelines.

3. Describe features of computer vision workloads on Azure (15-20%):

Image analysis, object detection, image classification, facial recognition, optical character recognition (OCR), and Azure AI Document Intelligence.

4. Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%):

Azure AI Language, sentiment analysis, key phrase extraction, named entity recognition (NER), question answering, and speech services.

5. Describe features of generative AI workloads on Azure (20-25%):

Large language models (LLMs), Azure OpenAI Service (GPT-4o, DALL-E 3), prompt engineering fundamentals, grounding, and Azure AI Content Safety.

What is Included in This Course:

• Practice Test 1: Full Diagnostic Mock Exam (Comprehensive 5-Domain Coverage - 60 Questions)

• Practice Test 2: AI Workloads, Machine Learning Concepts and Responsible AI (60 Questions)

• Practice Test 3: Azure Machine Learning Studio, Automated ML and Designer (60 Questions)

• Practice Test 4: Computer Vision, Azure Vision and Document Intelligence Workloads (60 Questions)

• Practice Test 5: Natural Language Processing (NLP), Speech and Language Understanding (60 Questions)

• Practice Test 6: Generative AI, Azure OpenAI Service, Copilots and Final Mock (60 Questions)

• Lifetime Access: Retake tests as often as needed to reinforce your learning.

• Active Q&A Support: Ask questions and get clarification directly through the course platform.

Disclaimer:

This practice test course is an independent educational resource designed to help candidates prepare for the Microsoft AI-900 exam. This course is not affiliated with, endorsed by, or sponsored by Microsoft Corporation. Microsoft, Azure, and associated marks are trademarks of Microsoft Corporation. Taking these practice tests does not guarantee passing the official certification exam.

Enroll today and begin your preparation for the Microsoft Azure AI Fundamentals exam!