Google Generative AI Leader Exam Practice Questions, practice question pack
GOOGLE · Generative AI Leader

Google Generative AI Leader Exam Practice Questions

75 questionsPDF by emailUpdated September 2026

US$39

Try 10 questions free

Card, Apple Pay or Google Pay. Your PDF is sent by email as soon as you check out.

Pass or your money backFail the exam after using this pack and we refund it. How the guarantee works
Category:
TRY BEFORE YOU BUY

Three of the 75 questions in this pack

Question 1

What is the definition of generative AI?

  1. A type of predictive model that estimates a relationship by fitting a line to the observed data.
  2. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
  3. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
  4. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.
Show answer and explanation

Correct answer: B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.

content and ideas, including text, images, music, and code. Generative AI is specifically designed to create new content across multiple formats including text, images, music, and code. This distinguishes it from other AI approaches that focus on prediction, pattern recognition through neural networks, or autonomous learning. The defining characteristic of generative AI is its capability to produce novel outputs rather than simply analyze or classify existing data.

Why the other options are wrong

  • A. This describes linear regression, a predictive modeling technique, not generative AI.
  • C. This describes artificial neural networks, which are a computational architecture used in various AI types, not specifically generative AI.
  • D. This describes general machine learning with deep learning, which is broader than generative AI and doesn't capture the content creation aspect.

Question 2

A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent.

What is the function of an AI agent in the context of gen AI?

  1. To provide the computational resources needed to train and run gen AI models.
  2. To store and manage large datasets used for training and running gen AI models.
  3. To provide a user-friendly interface for interacting with gen AI models.
  4. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.
Show answer and explanation

Correct answer: D. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

informed decisions without requiring constant human input. An AI agent in the context of generative AI serves as an autonomous decision-maker that analyzes situations, leverages multiple available tools, and makes informed decisions independently without requiring constant human intervention. This is the core function that distinguishes an agent from other components in a gen AI system, it acts as the intelligent executor that orchestrates the use of various resources to accomplish objectives.

Why the other options are wrong

  • A. This describes computational infrastructure, not the function of an AI agent.
  • B. This describes data storage and management systems, which are supporting infrastructure rather than the agent itself.
  • C. This describes a user interface layer, which is separate from the agent's core function of autonomous decision-making.

Question 3

What is the definition of an AI agent?

  1. An application that learns how to achieve a goal based on inputs and tools available to it.
  2. A human expert who oversees and manages the operation of a gen AI application.
  3. A type of user interface that allows users to interact with a gen AI application.
  4. A static component of a gen AI application that provides information to the user.
Show answer and explanation

Correct answer: A. An application that learns how to achieve a goal based on inputs and tools available to it.

based on inputs and tools available to it. An AI agent is fundamentally an application that possesses the ability to learn and adapt based on available inputs and tools to achieve defined goals. This learning capability is essential, it distinguishes an agent from static systems and emphasizes the dynamic, goal-oriented nature of agents that autonomously improve their performance over time.

Why the other options are wrong

  • B. This describes a human role or oversight function, not an AI agent itself.
  • C. This describes a user interface component, not the definition of an AI agent.
  • D. This describes a static information provider, lacking the learning and goal- achievement capabilities that define an AI agent.

See all 10 free questions Get the full pack, US$39

75 practice questions for Google Cloud Generative AI Leader certification, with full explanations.

Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.

  • 75 questions mapped to the Generative AI Leader exam guide
  • Answers and explanations for every question, including the wrong options
  • A questions-only PDF for timed practice runs
  • Instant delivery by email the moment you check out
  • Free monthly updates for as long as the exam is live
  • Pass or your money back

A Generative AI Leader attempt costs US$99. This pack is US$39, paid once.

Try 10 questions free before you buy.

Last updated September 2026 · 75 questions

What makes the Generative AI Leader exam hard

Generative AI Leader is Google’s business-level AI certification, launched in May 2025 for people in any role, with or without technical experience. There is no code and no architecture. What it tests is whether a candidate can read a business scenario and pick the right Google Cloud product, prompting technique or governance decision, which is harder than it sounds when four Google products overlap and the answer hinges on one requirement in the question.

Google Cloud’s gen AI offerings is the biggest section: the Gemini model family, Vertex AI, Vertex AI Studio versus Google AI Studio, Model Garden, Agent Builder, Gemini Enterprise, and the AI-optimised infrastructure with TPUs and GPUs. Fundamentals covers how AI, machine learning, deep learning and generative AI relate, foundation models and LLMs, tokens, hallucinations and bias.

Techniques to improve output covers prompt engineering, zero-shot and few-shot prompting, chain of thought, grounding and retrieval-augmented generation, and fine-tuning. Business strategies covers use case identification, ROI and KPIs, Google’s AI principles and responsible AI, and data governance, including that customer data in Vertex AI is not used to train Google’s foundation models. The exam is 50 to 60 questions in 90 minutes.

About the exam

The Google Cloud Generative AI Leader certification covers the fundamentals of generative AI, Google Cloud’s generative AI offerings, techniques to improve generative AI model output, and business strategies for a successful generative AI solution. There are no prerequisites and no technical experience is required.

Exam sections

  • Fundamentals of generative AI
  • Google Cloud’s generative AI offerings
  • Techniques to improve generative AI model output
  • Business strategies for a successful generative AI solution

50 to 60 multiple choice questions, 90 minutes, US$99 per attempt, online proctored or at a test centre, available in English, Japanese and Spanish, certification valid for three years. Google does not publish a fixed passing score.

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Questions before you buy

What do I get when I buy the Google Generative AI Leader pack?

75 practice questions as a PDF, each with the correct answer, a full explanation and a note on why the other options are wrong, plus a separate questions-only PDF for timed practice.

How quickly do I receive it?

Your PDF is prepared and sent to your email address after checkout, and you get a confirmation as soon as it is on its way.

Is there a free sample?

Yes. Ten questions from this pack, with answers and explanations, are free on this page and as a PDF, so you can judge the quality before you pay.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.

Related products