Google Cloud · Official Blueprint · Last reviewed May 2026
The official Google Cloud PMLE exam covers 8 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 Scaling prototypes into ML models domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Scaling prototypes into ML models questionsCovers the topics, concepts, and applied skills examined under the Automating and orchestrating ML pipelines domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Automating and orchestrating ML pipelines questionsCovers the topics, concepts, and applied skills examined under the Collaborating within and across teams to manage data and models domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Collaborating within and across teams to manage data and models questionsCovers the topics, concepts, and applied skills examined under the Architecting low-code ML solutions domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Architecting low-code ML solutions questionsCovers the topics, concepts, and applied skills examined under the Collaborating to manage data and models domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Collaborating to manage data and models questionsCovers the topics, concepts, and applied skills examined under the Serving and scaling models domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Serving and scaling models questionsCovers the topics, concepts, and applied skills examined under the Monitoring ML solutions domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Monitoring ML solutions questionsCovers the topics, concepts, and applied skills examined under the Solving business challenges with ML domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.
Practice Solving business challenges with ML 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.