Exam prep for
Google Cloud Certified Generative AI Leader
Exam set and awarded by Google Cloud On demand
For business leaders preparing for the Google Cloud Certified Generative AI Leader credential: build the conceptual knowledge to evaluate generative AI opportunities, Google Cloud offerings, output improvement techniques and responsible business strategies.
Included with Elandi Pro: practice on all 4 exam domains and unlimited mock exams.
Independent exam prep. Elandi is not affiliated with, endorsed by or approved by Google Cloud, and does not award Google Cloud credentials. Our practice questions and mocks are written by Elandi, not taken from the real exam. Exam names are trademarks of their owners. Google Cloud and related certification names are trademarks of Google LLC.
The exam in numbers
Assesses business-level knowledge of generative AI, Google Cloud offerings, techniques for improving model output and strategies for responsible adoption. Candidate volume, pass rate and preparation hours are speculative estimates with no official figures or supporting exam-specific data. Your mock exams use this learning plan's question count, time limit and pass mark.
- Questions
- 55
- Time limit
- 90min
- Mock pass mark
- 70%
- 39 correct
- Exam fee (paid to Google Cloud)
- US$99
- When you book the exam
- Sitting
- On demand
- Single select (Radio): 4 options
- Multiple select (Checkbox): 4 options
Upcoming sittings
Pick a sitting when you start. Your workspace counts down to it and paces your prep from there.
- Any day On demand Book any day
What Google Cloud Certified Generative AI Leader covers
4 modules · 15 units · ~15h of structured prep. Each exam domain with the weight the exam gives it, and the modules that prepare you for it.
- 01Fundamentals of gen AI 30%
- Describe core generative AI (gen AI) concepts and use cases.
- Describe how various data types are used in gen AI and the business implications.
- Identify the core layers of the gen AI landscape and the business implications.
- Identify the use cases and strengths of Google’s foundation models.
- 02Google Cloud’s gen AI offerings 35%
- Describe Google Cloud's strengths in the field of gen AI.
- Describe how Google Cloud’s prebuilt gen AI offerings enable AI powered work.
- Describe how Google Cloud’s gen AI offerings improve the customer experience.
- Describe how Google Cloud empowers developers to build with AI.
- Define the purpose and types of tooling for gen AI agents.
- 03Techniques to improve gen AI model output 20%
- Describe how to proactively overcome foundation model limitations.
- Describe prompt engineering techniques and how they drive better results.
- Identify grounding techniques and their use cases.
- 04Business strategies for a successful gen AI solution 15%
- Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution.
- Define secure AI and its importance in protecting AI systems from malicious attacks and misuse.
- Describe the importance of responsible AI in business.
Your exam workspace counts down and keeps score
Set your exam day once. The workspace paces your prep in four phases, weighs your coverage by what each topic is worth, and shows where the marks are still open after every mock.
- Overview
- All attempts
- Review
- Preview questions
- Questions
- 55
- Time limit
- 90 minutes
- Pass score
- 70% · 39 correct
days until your exam
6 weeks
Thursday, 24 December 2026
- Learn 8+ weeks out
- Mock and repair 8 to 2 weeks out
- Simulate Last 2 weeks
- Consolidate Last 3 days
Now: Mock and repair. Sit a full mock every week or two, then practise the topics you missed.
How ready you are
- Exam-weighted coverage
- 84% of the plan, counted by what each topic is worth
- Full mocks taken
- 2 Prep guides suggest three to five before the exam
- Latest mock
- 66% 4 points below the 70% pass mark
Where the marks are still open
- Business strategies for a successful gen AI solution 15% of the exam 54%
- Techniques to improve gen AI model output 20% of the exam 71%
- Fundamentals of gen AI 30% of the exam 88%
- Google Cloud’s gen AI offerings 35% of the exam 100%
How the content is written
Clear, business-focused exam preparation that explains generative AI concepts precisely and connects Google Cloud capabilities to leadership decisions.
- Worked examples
- Heavy
- Technical jargon
- Heavy
- Maths & formulas
- Light
- Code
- None
- Diagrams
- Light
Try a sample question
Elandi wrote these in this learning plan's style. Pick an answer to see whether it's right and why. They are not taken from the exam.
A business leader provides a model with two examples of the desired response before asking it to classify a new customer comment. Which prompting technique is being used? One answer
A team wants employees to create summaries and drafts within the productivity tools they already use. Which offering best fits this need? One answer
A company plans to introduce a generative AI assistant for internal policy questions. Which two actions support responsible ongoing use? Select two. Select all that apply
A leader is evaluating data for an AI initiative. The records are accessible and in the right format, but many are incomplete and inconsistent. What is the most important concern? One answer
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