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HomeCertificationsGenerative AI LeaderExam Domains

Google Cloud · Official Blueprint · Last reviewed May 2026

Generative AI Leader Exam Domains & Blueprint

The official Google Cloud Generative AI Leader exam covers 4 domains. The vendor does not publish percentage weights for these domains — treat each as an equal part of the exam blueprint.

Exam OverviewPractice TestStudy GuideSample QuestionsExam Domains

Generative AI Leader Domain Weight Summary

#DomainWeightQuestions
1Fundamentals of Generative AI
—
124 practice Q
2Business Strategies for Generative AI Solutions
—
128 practice Q
3Google Cloud's Generative AI Offerings
—
127 practice Q
4Techniques to Improve Generative AI Model Output
—
121 practice Q

Detailed Domain Breakdown

Domain 1: Fundamentals of Generative AI

124 practice questions

Covers the topics, concepts, and applied skills examined under the Fundamentals of Generative AI domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.

Practice Fundamentals of Generative AI questions

Domain 2: Business Strategies for Generative AI Solutions

128 practice questions

Covers the topics, concepts, and applied skills examined under the Business Strategies for Generative AI Solutions domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.

Practice Business Strategies for Generative AI Solutions questions

Domain 3: Google Cloud's Generative AI Offerings

127 practice questions

Covers the topics, concepts, and applied skills examined under the Google Cloud's Generative AI Offerings domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.

Practice Google Cloud's Generative AI Offerings questions

Domain 4: Techniques to Improve Generative AI Model Output

121 practice questions

Covers the topics, concepts, and applied skills examined under the Techniques to Improve Generative AI Model Output domain. Study the official exam objectives and practise questions in this area to build confidence and accuracy before your exam.

Practice Techniques to Improve Generative AI Model Output questions

How to Use Domain Weights in Your Study Plan

The 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.

Practice every Generative AI Leader domain

Courseiva tracks your accuracy per domain automatically and routes you toward your weakest areas — no manual configuration needed.

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