Amazon Web Services · Official Blueprint · Last reviewed May 2026
The official Amazon Web Services MLA-C01 exam covers 4 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 ML Model Development domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice ML Model Development questionsCovers the topics, concepts, and applied skills examined under the Data Preparation for Machine Learning domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Data Preparation for Machine Learning questionsCovers the topics, concepts, and applied skills examined under the Deployment and Orchestration of ML Workflows domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Deployment and Orchestration of ML Workflows questionsCovers the topics, concepts, and applied skills examined under the ML Solution Monitoring, Maintenance, and Security domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice ML Solution Monitoring, Maintenance, and Security questionsThe heaviest domain on the MLA-C01 is "Data Preparation for Machine Learning" at 28%. 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.