Free Google Generative-AI-Leader Actual Exam Questions - Question 9 Discussion
Question No. 9
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?
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?
Select one option, then reveal solution.
US
SJ
Sohail J.
2026-01-28
A/B? The description fits reinforcement learning because of the reward system, but if the AI is figuring things out without labeled data, there might be some unsupervised aspects too. Still, A seems stronger here.
0
MF
Mohammad F.
2026-01-15
Option A
0