Expect business scenarios.
Passers describe nearly every question as a short business situation asking for the best approach or Google offering, with regular questions on responsible AI and change management.

Validates knowledge of generative AI concepts, Google Cloud generative AI offerings, improving model output and leading responsible adoption.
The exam tests whether you understand generative AI well enough to choose and lead the right business solution with Google Cloud's offerings. Work through Google's free learning path and study guide, try the tools, then practise scenario questions.
Example scenario: A marketing team wants short product videos generated from text descriptions. Which kind of model fits, and what would you check before choosing one?
Example scenario: A bank wants staff to search internal policies in plain language without building anything custom. Which Google offering would you look at first?
Example scenario: A chatbot gives confident but wrong answers about this year's product prices. What would you change so it answers from current data?
Example scenario: A leadership team wants to show the value of a gen AI pilot after three months. Which measures would you agree on before it starts?
Generative AI Leader exam guide · Updated in 2026 for current product names
Multiple choice. Choose the one correct answer from the options.
A leadership team wants a model to summarize entire contracts in a single request. Which model characteristic matters most for this?
The context window. It sets how much text the model can read in one request, so long contracts need a large window.
Create a CM Connect account, choose the exam and delivery method, then pick a Pearson VUE time and pay. Your CM Connect legal name must match your ID exactly.
Read the exam guide, then complete Google's free learning path and study guide. Try the tools yourself and finish with a practice set.
Most candidates spend 10–30 hours. Plan for the low end if you already use generative AI tools at work; add time if generative AI or Google's AI products are new to you.
Google's free learning path and study guide cover the whole exam. Add a video course only if you prefer that format.
Think like a decision maker. For each product, note the business problem it solves and when a simpler option such as better prompting would be enough.
Start with Google's sample questions, then take one full practice set and review each explanation against the exam guide.
Choose the checklist for your test centre or online appointment.
Reschedule or cancel at least 24 hours ahead to avoid a late fee. After a fail, wait at least 14 days; you get up to ten attempts in a year.
Passers describe nearly every question as a short business situation asking for the best approach or Google offering, with regular questions on responsible AI and change management.
One passer studied for about a week using only the free learning path, study guide, exam guide and sample questions, and called the learning path essential.
The same passer advises knowing when prompt engineering is enough and when RAG or fine-tuning is needed, and watching for words such as cost-effective or scalable in the question.