Microsoft · Official Blueprint · Last reviewed May 2026
The official Microsoft AI-900 exam covers 5 domains. Domain weights tell you exactly how much of the exam each topic represents — and where to invest your study time.
Covers the topics, concepts, and applied skills examined under the Describe Artificial Intelligence workloads and considerations domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Describe Artificial Intelligence workloads and considerations questionsCovers the topics, concepts, and applied skills examined under the Describe fundamental principles of machine learning on Azure domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Describe fundamental principles of machine learning on Azure questionsCovers the topics, concepts, and applied skills examined under the Describe features of computer vision workloads on Azure domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Describe features of computer vision workloads on Azure questionsCovers the topics, concepts, and applied skills examined under the Describe features of Natural Language Processing workloads on Azure domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Describe features of Natural Language Processing workloads on Azure questionsCovers the topics, concepts, and applied skills examined under the Describe features of generative AI workloads on Azure domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Describe features of generative AI workloads on Azure questionsThe heaviest domain on the AI-900 is "Describe Artificial Intelligence workloads and considerations" at null%. Start here and return to it regularly.
Allocate study time proportional to domain weight — a 25% domain deserves roughly 25% of your prep hours.
Never skip a low-weight domain. A 10% domain still represents 5–7 exam questions — enough to make the difference between pass and fail.
Use Courseiva domain analytics to track your accuracy per domain automatically. The system routes extra questions to your weak areas.
Courseiva tracks your accuracy per domain automatically and routes you toward your weakest areas — no manual configuration needed.