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☁️ Azure AI Fundamentals (AI-900) Practice Test

The Microsoft Azure AI Fundamentals (AI-900) exam tests core AI/ML concepts and Azure AI services. This practice test covers the foundational AI and data science knowledge the exam is built on — get a readiness score, find your weak areas, and know if you're ready before you book.

✓ Instant results✓ Topic breakdown✓ Weak area detection✓ Pass likelihood

What this test covers

AI-900 is Microsoft's entry-level AI certification, testing knowledge of ML workloads, computer vision, NLP, generative AI, and responsible AI principles — not Azure-specific tooling. The core concepts are the AI and data science fundamentals in this test. Candidates who score 85+ here typically need only light Azure-specific prep to clear AI-900.

✓ Machine Learning Fundamentals — supervised/unsupervised learning, model evaluation
✓ Neural Networks & Deep Learning — CNNs, RNNs, transformer architecture
✓ Natural Language Processing — tokenisation, embeddings, text classification
✓ Computer Vision — image classification, object detection, OCR
✓ Responsible AI — fairness, reliability, privacy, inclusiveness
✓ Generative AI Concepts — LLMs, prompt engineering, grounding

How it works

01

Pick your difficulty

Choose Easy, Medium, or Full test depending on where you are in your learning.

02

Answer questions

One question at a time. Click an answer and get instant feedback with a full explanation.

03

Get your score

See your readiness score (0–100), pass likelihood, and a topic-by-topic breakdown.

Frequently asked questions

What does the Azure AI-900 exam test?

AI-900 tests AI and ML concepts (60%) plus Azure AI services (40%). The conceptual foundation — how ML models work, what NLP and computer vision solve, what responsible AI means — is universal and covered in this test. The Azure-specific content (Azure ML Studio, Cognitive Services) is best studied through Microsoft Learn after you've built your conceptual foundation here.

Do I need Azure experience to pass AI-900?

No hands-on Azure experience is required. AI-900 is a fundamentals exam — a non-technical person with solid AI conceptual knowledge and basic familiarity with Azure services can pass it. The focus is on understanding what AI services do, not how to build them.

How many questions are in this practice test?

The full test (Hard mode) includes 25 questions spanning AI/ML fundamentals, statistics, and data science concepts. Easy mode focuses on the most fundamental concepts; Hard mode includes model evaluation, deep learning architecture, and NLP detail aligned with AI-900 difficulty.

What score on Examifyr means I am ready for AI-900?

A score of 70+ (Almost Ready or better) on Examifyr's data science test indicates strong conceptual foundations. After that, spend 1–2 weeks on Microsoft Learn covering Azure-specific AI services and you'll be ready for AI-900. The AI Report ($19) maps your exact weak areas to an actionable study plan.

Is AI-900 worth getting in 2026?

Yes, especially as an entry point to the Azure AI certification track. AI-900 unlocks the path to AI-102 (Azure AI Engineer) and DP-100 (Azure ML Engineer). For non-technical roles (product, sales, project management), AI-900 signals AI literacy to employers and typically takes 2–4 weeks of focused study.

Ready to find out your score?

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