Google Cloud Generative AI Leader

About the Generative AI Leader exam

Google Cloud's Generative AI Leader is a business-level certification. It is meant for managers, consultants, product owners, sales and anyone else who has to decide where generative AI fits in an organisation and talk about it sensibly with both technical and non-technical people. Google says it is open to any job role, with or without hands-on technical experience, and there are no prerequisites.

You won't be asked to write code or configure anything. The questions describe a business situation (a support team drowning in tickets, a marketing department that wants product images, a bank worried about hallucinated answers) and ask which approach, Google product or technique fits. The wrong options are usually real things applied to the wrong problem: fine-tuning where grounding would do, a developer platform where a ready-made app is enough, or a model chosen for the wrong modality.

Exam format

• Questions: 50 to 60, multiple choice.
• Time: 90 minutes.
• Passing score: Google reports pass or fail only and doesn't publish a cut score.
• Cost: 99 USD plus tax, taken online with a remote proctor or at a testing center.
• Languages: English, Japanese, Spanish and Portuguese.
• Validity: 3 years.

What the exam covers

The exam guide has four sections. It was recently updated for Google's product renaming, so it uses Gemini Enterprise Agent Platform names such as Agent Platform, Agent Search and Agent Studio for what used to carry the Vertex AI brand.

• Fundamentals of gen AI (about 30%). Core terms (foundation models, LLMs, diffusion and multimodal models), supervised, unsupervised and reinforcement learning, the ML lifecycle, structured versus unstructured and labeled versus unlabeled data, the layers from infrastructure to applications, and when to use Gemini, Gemma, Imagen or Veo.
• Google Cloud's gen AI offerings (about 35%). Google's AI infrastructure such as TPUs, the Gemini app, Gemini Enterprise and Gemini for Google Workspace, the Customer Engagement Suite (Conversational Agents, Agent Assist), Agent Platform with Model Garden and Agent Search, how agents use tools, and when to pick Agent Studio over Google AI Studio.
• Techniques to improve gen AI model output (about 20%). Model limits such as hallucination, bias and knowledge cutoff; grounding, RAG, fine-tuning and human review; zero-shot, few-shot, role and chain-of-thought prompting; and settings like temperature, top-p and output length.
• Business strategies for a successful gen AI solution (about 15%). Choosing and rolling out a solution, measuring its impact, Google's Secure AI Framework (SAIF), IAM and Security Command Center, and responsible AI: privacy, fairness, transparency and accountability.

How the practice questions here are organised

There are 10 practice tests of 10 questions each, and every test covers all four sections, so each one is a small sample of the whole exam rather than a single-topic quiz. Expect choices between Google models by modality and context window, matching a business need to the right Google product, deciding between prompting, grounding and fine-tuning, and judging how to measure the value of a project. Each question explains why the right answer fits and why the others don't, with a link to the Google Cloud page it is based on.

The full practice exam has 55 questions in 90 minutes, the middle of Google's range, weighted by section like the real exam, with answers hidden until you submit. Google doesn't publish a cut score, so the mock passes you at 70%.

A study plan that works

• Take Test 1 first to see whether your gaps are in concepts or in Google's product lineup.
• Make a one-page map of Google's offerings: which are finished apps for employees, which serve customers, and which are platforms for developers. Many questions come down to that split.
• Learn the techniques in order of effort: prompt first, then ground with your own data, and fine-tune only when the first two can't get there.
• Read the explanations of every question you missed or guessed, then redo that test later.
• Sit the full practice exam in one timed sitting before booking. Ninety minutes is generous, so use the spare time to reread the scenarios.

These questions are original, written from the public Google Cloud documentation and the official exam guide. They are not real exam questions, and this site is not affiliated with Google.