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What is Artificial Intelligence (AI)?
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The capability of machines to imitate intelligent human behavior, including learning, reasoning, and self-correction.
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Azure AI Fundamentals (AI-900) is a Microsoft certification. These facts come from the current exam guide and are the numbers to plan around.
| Domain | Weight | What to focus on |
|---|---|---|
| Natural Language Processing | 25% | Text analytics, Language understanding, Azure Language services |
| AI Workloads and Considerations | 20% | Common AI workloads, Responsible AI principles, AI fairness and transparency |
| Machine Learning Principles | 20% | Machine learning types, Core ML concepts, Azure Machine Learning |
| Generative AI | 20% | Generative AI concepts, Azure OpenAI Service, Prompt engineering |
| Computer Vision Workloads | 15% | Image classification, Object detection, Azure Vision services |
Yes. You can start AI-900 practice and flashcards free without creating an account. A free account keeps your progress, and the full bank (300+ questions) unlocks with a subscription.
They cover all 5 domains of the AI-900 exam: Natural Language Processing (25%), AI Workloads and Considerations (20%), Machine Learning Principles (20%), Generative AI (20%), Computer Vision Workloads (15%). Each section is weighted in the same proportion as the real exam, so nothing high-value is buried.
The AI-900 exam has approximately 40 questions in 60 minutes, with a passing score of 700. Use the practice questions to confirm you are consistently above that line before booking the real exam.
Study in short, spaced sessions: a card you have not seen for two days is worth more than a card you reread immediately. Filter by Natural Language Processing first, then mix domains so you practise identifying the topic before recalling the definition.
They are the recall half of preparation. Pair the cards with practice questions and at least one timed practice exam — candidates who only review cards usually recognise terms but miss scenario questions.