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GoogleGAIL

GAIL Practice Exam — Generative AI Leader

Generative AI Leader is a business-level exam: what generative AI can and cannot do, which Google Cloud offering fits a given need, how grounding and prompt design improve a model's output, and how to adopt gen AI securely and responsibly. It does not test hands-on implementation. Practise across all four official sections with full 50-question papers and a score breakdown per section.

GAIL exam at a glance

Questions per paper
50
Time limit
90 minutes
Passing score
Not published by Google
Question format
Multiple choice
Official exam fee
USD $99
Certification valid for
3 years
ReadyForCert access
60 days · $8.99 AUD
Free sample
20 questions

Study, practise, review

Study by topic

Work through the complete question bank by official exam domain, save questions, and revisit incorrect answers.

Timed exams

Take 50-question simulations with a 90-minute timer and saved progress.

Exam reports

Review your score, every answer, and your performance across each exam domain.

What the GAIL exam covers

  1. Fundamentals of gen AI

    Core concepts from machine learning to foundation models, data types and quality, the layers of the gen AI landscape, and what Gemini, Gemma, Imagen and Veo are for.

    30%
  2. Google Cloud's gen AI offerings

    Google Cloud's AI platform and infrastructure, the Gemini app, Gemini Enterprise and Gemini for Workspace, customer engagement products, and building agents.

    35%
  3. Techniques to improve gen AI model output

    Model limitations such as hallucination, grounding and retrieval-augmented generation, prompting techniques, and sampling settings.

    20%
  4. Business strategies for a successful gen AI solution

    Choosing and rolling out a gen AI solution, measuring its impact, securing AI systems, and responsible AI.

    15%

A sample GAIL question

One question written for this page, in the same style as the questions in the bank.

Techniques to improve gen AI model output

A company's internal assistant answers policy questions confidently but sometimes quotes rules the company changed last quarter. The policies live in documents that are updated regularly. What should the company do so that answers reflect the current policies?

  • AGround the model in the current policy documents with retrieval-augmented generation.Correct answer
  • BRaise the model's temperature so it considers a wider range of answers.
  • CFine-tune the model once on this quarter's policy documents.
  • DAdd an instruction to the prompt telling the model not to make mistakes.

About the GAIL exam

How many questions are on the Generative AI Leader exam?

50–60 multiple choice questions in 90 minutes. ReadyForCert papers use 50 questions in 90 minutes.

What score do I need to pass the Generative AI Leader exam?

Google does not publish a passing score or your numeric result — you receive a pass or fail. Because there is no published bar, aim comfortably above a bare pass: ReadyForCert scores you against a 72% threshold so you have a concrete target.

How much does the exam cost and how long is it valid?

Registration is USD $99 plus tax where applicable, and the certification is valid for 3 years.

Are these the real Google Generative AI Leader exam questions?

No. These are practice questions written against the current official exam guide. Google's exam content is confidential and the bank is rotated, so practising against leaked questions does not survive an exam refresh.

Same format, same price, same free quiz.

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