Free AI-900 practice exams give you a quick way to check your readiness for the Microsoft Azure AI Fundamentals certification. Whether you are taking your first Microsoft cert, transitioning from a business role into AI, or preparing for the role-based AI-102 exam later, working through realistic mock questions is the fastest way to see which Azure AI services you actually understand and which you only recognise.
What AI-900 covers
The AI-900 exam validates foundational knowledge across five official domains. You describe common AI workloads (machine learning, computer vision, NLP, generative AI, anomaly detection, knowledge mining) and Microsoft's six responsible AI principles (fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability). You describe the fundamentals of machine learning on Azure, including supervised and unsupervised learning, training and evaluation, Azure Machine Learning, AutoML, and the Designer. You describe features of computer vision workloads using Azure AI Vision, Custom Vision, Document Intelligence, and Face. You describe features of NLP workloads via Azure AI Language, Translator, Speech, and Bot Service. Finally, you describe features of generative AI workloads on Azure, including Azure OpenAI Service, Azure AI Foundry, copilots, embeddings, RAG, and content safety. The exam runs for 45 minutes with roughly 40 to 60 questions and a 700/1000 passing score.
What's in these practice exams
These free Azure AI Fundamentals practice questions cover all five domains weighted to match the real exam:
- AI workloads (ML, computer vision, NLP, generative AI, anomaly detection, knowledge mining) and the six responsible AI principles
- Supervised, unsupervised, and reinforcement learning, with evaluation metrics like precision, recall, F1, RMSE, R-squared, and confusion matrices
- Azure Machine Learning workspaces, compute targets, AutoML, Designer, model registry, and managed online and batch endpoints
- Azure AI Vision, Custom Vision, Document Intelligence prebuilt models (invoice, receipt, ID, layout), Face, and Video Indexer
- Azure AI Language (sentiment, NER, key phrases, summarisation, CLU, Question Answering), Translator, and Speech (real-time, batch, custom)
- Azure OpenAI Service models (GPT-4, DALL-E, Whisper, embeddings), Azure AI Foundry, RAG patterns, Microsoft Copilot Studio, and content filters
The first set is completely free with no signup. The remaining 24 sets unlock premium features like score tracking, weak-area analytics, and timed mode that mirrors the real exam length.
How to use these effectively
Start with the free set to identify weak domains, then read every explanation, not just the ones you missed. The rationales call out the service-to-scenario mapping that AI-900 loves to test, like "use Document Intelligence for structured fields, not OCR alone" or "use RAG for evolving knowledge rather than fine-tuning every week." Once you have studied weaker areas, mix sets across domains rather than burning through one topic at a time, because the real exam jumps between vision, NLP, and generative AI in a single sitting. Aim to score 85% or higher across multiple sets before booking the real exam, because the question count is small and a few mistakes go a long way at the fundamentals level.