Generative AI Leader

Here you have the best Google Generative AI Leader practice exam questions

You have 75 total questions across 15 pages (5 per page)
These questions were last updated on February 14, 2026
This site is not affiliated with or endorsed by Google.

Question 1 of 75

What is the definition of generative AI?

A type of predictive model that estimates a relationship by fitting a line to the observed data.

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

A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.

A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.

Question 2 of 75

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?

To provide the computational resources needed to train and run gen AI models.

To store and manage large datasets used for training and running gen AI models.

To provide a user-friendly interface for interacting with gen AI models.

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

Question 3 of 75

What is the definition of an AI agent?

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

A human expert who oversees and manages the operation of a gen AI application.

A type of user interface that allows users to interact with a gen AI application.

A static component of a gen AI application that provides information to the user.

Question 4 of 75

A company is developing an AI character for a video game. The AI character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes actions that lead to positive outcomes like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character’s ability to play the game effectively. What machine learning should the company use?

Unsupervised learning

Reinforcement learning

Supervised learning

Deep learning

Question 5 of 75

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure vibration levels and electrical current recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

Deep learning

Reinforcement learning

Supervised learning

Unsupervised learning

About the Google Generative AI Leader Certification Exam

About the Exam

The Google Generative AI Leader (Generative AI Leader) validates your knowledge and skills. Passing demonstrates proficiency and can boost your career prospects in the field.

How to Prepare

Work through all 75 practice questions across 15 pages. Focus on understanding the reasoning behind each answer rather than memorizing responses to be ready for any variation on the real exam.

Why Practice Exams?

Practice exams help you familiarize yourself with the question format, manage your time, and reduce anxiety on the test day. Our Generative AI Leader questions are regularly updated to reflect the latest exam objectives.