Microsoft Azure AI Fundamentals (AI-900): Complete Study Guide

A friendly entry into AI on Azure. AI-900 exam format, the five knowledge areas (including generative AI), the services to know, and a quick study plan.

Practice 122 free Microsoft Azure AI Fundamentals questions

Official exam page: https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

Microsoft Azure AI Fundamentals (AI-900) is a beginner-friendly certification covering core AI and machine learning concepts and the Azure services that implement them — including computer vision, natural language processing and generative AI. No data-science background is required.

Exam at a glance

• Format: 40–60 questions (multiple choice, drag-and-drop)
• Duration: about 45–60 minutes
• Cost: 99 USD (varies by region)
• Passing score: 700 out of 1000
• Validity: does not expire

Knowledge areas

1. Describe Artificial Intelligence workloads and considerations — 15–20%. AI workload types and responsible AI principles.
2. Describe fundamental principles of machine learning on Azure — 20–25%. Regression, classification, clustering; the ML lifecycle; Azure Machine Learning and Automated ML.
3. Describe features of computer vision workloads — 15–20%. Image classification, object detection, OCR; Azure AI Vision.
4. Describe features of Natural Language Processing — 15–20%. Key phrase extraction, sentiment, entities, translation; Azure AI Language and Speech.
5. Describe features of generative AI workloads — 15–20%. Large language models, prompts, and Azure OpenAI Service.

Concepts and services to know

• Responsible AI principles: fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability
• ML basics: supervised vs unsupervised, regression vs classification vs clustering, features and labels
• Azure AI services: AI Vision, AI Language, AI Speech, Azure AI Document Intelligence, Azure OpenAI
• Generative AI: what LLMs do, prompts and completions, common use cases

A study plan

• Week 1: AI concepts, responsible AI, and ML fundamentals.
• Week 2: Computer vision, NLP and generative AI services — then practice exams.

Exam-day tips

• Be able to match a scenario to the right Azure AI service (vision vs language vs speech vs OpenAI).
• Memorize the six responsible AI principles — they appear frequently.
• Know the difference between classification, regression and clustering.

Practice now

Use the free AI-900 questions below to confirm you can map use cases to the correct Azure AI service.