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Google Generative AI Leader Actual Exam Questions

Last updated on July 23, 2025.
97% Passed the exam with this material
48 Questions & Answers Included

Topic 1 - Topic 1, Fundamentals of gen AI

Question #1 Topic 1

What is the definition of generative AI?

  • A. A type of predictive model that estimates a relationship by fitting a line to the observed data.
  • B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
  • C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
  • D. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.
Reveal Solution Hide Solution   Discussion   3

Correct Answer: B 🗳️

Question #2 Topic 1

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?

  • A. To provide the computational resources needed to train and run gen AI models.
  • B. To store and manage large datasets used for training and running gen AI models.
  • C. To provide a user-friendly interface for interacting with gen AI models.
  • D. To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.
Reveal Solution Hide Solution   Discussion   2

Correct Answer: D 🗳️

Question #3 Topic 1

What is the definition of an AI agent?

  • A. An application that learns how to achieve a goal based on inputs and tools available to it.
  • B. A human expert who oversees and manages the operation of a gen AI application.
  • C. A type of user interface that allows users to interact with a gen AI application.
  • D. A static component of a gen AI application that provides information to the user.
Reveal Solution Hide Solution   Discussion   2

Correct Answer: A 🗳️

Question #4 Topic 1

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?

  • A. Unsupervised learning
  • B. Reinforcement learning
  • C. Supervised learning
  • D. Deep learning
Reveal Solution Hide Solution   Discussion   2

Correct Answer: B 🗳️

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