Microsoft · Official Blueprint · Last reviewed May 2026
The official Microsoft AI-900 exam covers 5 domains. The vendor does not publish percentage weights for these domains — treat each as an equal part of the exam blueprint.
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 vendor does not currently publish percentage weights for these domains, so Courseiva does not rank them by weight.
Work through each domain systematically — cover fundamentals first, then applied and scenario-based topics.
Never skip a domain regardless of perceived importance. Full coverage is required to pass.
Use Courseiva domain analytics to track your accuracy per domain and route extra questions to your weak areas.
Courseiva tracks your accuracy per domain automatically and routes you toward your weakest areas — no manual configuration needed.