Minimax Algorithm with Alpha-Beta Pruning Quiz

Minimax Algorithm with Alpha-Beta Pruning Quiz

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of the tutorial presented by Tracy from Science Buddies?

Building a Connect 4 game from scratch

Understanding the Minimax algorithm with Alpha-Beta pruning

Learning Python programming basics

Exploring advanced data structures

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which platform is used in the tutorial to write, run, and share code?

Atom

Google Colab

Visual Studio Code

Jupyter Notebook

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are constants used in the code instead of magic numbers?

To make the code run faster

To reduce memory usage

To provide clear context and ease of modification

To increase the complexity of the code

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the evaluation function in the Connect 4 game?

To assign values to board positions based on their strategic importance

To calculate the total number of moves

To reset the game board

To determine the winner of the game

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the Minimax algorithm, what value is assigned to a game state where the AI player wins?

Zero

Negative Infinity

Positive Infinity

A random number

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Alpha-Beta pruning technique help achieve in the Minimax algorithm?

It guarantees a win for the AI

It reduces the number of nodes evaluated

It simplifies the game rules

It increases the number of possible moves

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if a node's score is worse than the current Alpha-Beta range during the Minimax evaluation?

The node is evaluated further

The node is pruned and not evaluated further

The node is assigned a random value

The node is marked as a winning move

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