Practice Recursive Function for Placing Queens - 32.2.1 | 32. Backtracking, N queens - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one way to represent the chessboard computationally?

πŸ’‘ Hint: Think about how you would visualize the chessboard.

Question 2

Easy

How many queens can we place on a 4x4 chessboard without them attacking each other?

πŸ’‘ Hint: Consider the threat patterns of the queens.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What methodology is primarily used to solve the N Queens problem?

  • Dynamic Programming
  • Backtracking
  • Greedy Method

πŸ’‘ Hint: Think about exploring options step by step.

Question 2

Is it possible to place 3 queens on a 3x3 chessboard without conflicts?

  • True
  • False

πŸ’‘ Hint: Remember how queens attack.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a 6x6 board, detail a backtracking algorithm to find all possible arrangements of queens. What complexities might arise?

πŸ’‘ Hint: Consider the potential placements and the number of queens.

Question 2

How would the representation of queens on a board change if N increases to 12? Explain the implications.

πŸ’‘ Hint: Think about the exponential growth of possibilities.

Challenge and get performance evaluation