
8 Queens Problem
Authored by REGINA FERNANDES
Professional Development
University
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16 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the backtracking algorithm?
Backtracking algorithm is a technique used to solve problems by incrementally building a solution and removing solutions that fail to satisfy the constraints of the problem.
Backtracking algorithm is a technique used to solve problems by always selecting the first solution encountered.
Backtracking algorithm is a technique used to solve problems by ignoring constraints and proceeding with any solution.
Backtracking algorithm is a technique used to solve problems by randomly guessing solutions.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the backtracking algorithm applied in solving problems?
By randomly selecting solutions and backtracking when a solution is found to be incorrect.
By systematically trying all possible solutions and backtracking when a solution is found to be incorrect.
By always choosing the first solution and backtracking when a solution is found to be incorrect.
By skipping solutions and backtracking when a solution is found to be incorrect.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of the 8 queens problem.
The 8 queens problem requires placing 8 queens on a checkerboard.
The concept of the 8 queens problem involves finding a solution to place 8 queens on a chessboard without any of them attacking each other.
The 8 queens problem involves placing 8 kings on a chessboard.
The 8 queens problem is about arranging 8 queens in a straight line on a chessboard.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the rules of the 8 queens problem?
Use a 6x6 chessboard
Place 8 kings on an 8x8 chessboard
Place 8 queens on an 8x8 chessboard so that no two queens threaten each other.
Allow queens to threaten each other
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many solutions are there for the 8 queens problem?
64
92
50
100
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the applications of the 8 queens problem in computer science?
Demonstrating backtracking algorithms and constraint satisfaction problems.
Optimizing search algorithms
Solving linear programming problems
Implementing machine learning models
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Discuss the complexity of solving the 8 queens problem.
O(n^2)
O(n)
O(n!)
O(log n)
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