Exploring Backtracking Techniques

Exploring Backtracking Techniques

University

20 Qs

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Exploring Backtracking Techniques

Exploring Backtracking Techniques

Assessment

Quiz

Computers

University

Medium

Created by

Ashwin Perti

Used 1+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Advait is trying to solve a complex puzzle that requires him to place pieces in a specific order. He starts placing the pieces one by one, but if he finds that a piece does not fit, he removes it and tries a different piece. What is this method called?

A backtracking algorithm is a sorting algorithm that organizes data in ascending order.

A backtracking algorithm is a method for optimizing database queries.

A backtracking algorithm is a recursive algorithm that tries to build a solution incrementally and backtracks when a solution cannot be completed.

A backtracking algorithm is a technique used for parallel processing in computing.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Aanya is trying to find the best route for her road trip, considering all possible paths she could take. She explores every option available to her. Meanwhile, Neha is planning her trip using a map application that optimizes the route by storing the best paths from previous trips. How does Aanya's approach differ from Neha's?

Aanya explores all possible solutions, while Neha optimizes by storing results of subproblems.

Aanya only solves optimization problems, while Neha solves all types of problems.

Neha uses recursion while Aanya does not.

Aanya is faster than Neha.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Aanya is trying to solve a complex puzzle that requires her to find the right combination of pieces. What is the general approach she should take to solve this puzzle using backtracking?

Only considering the first solution found

The general approach to solving problems using backtracking involves exploring all possible solutions, validating candidates, and backtracking when necessary.

Ignoring invalid candidates completely

Focusing solely on brute force methods

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Aisha is planning a road trip and needs to decide on the best route to take. She considers various stops along the way, each representing a different decision point. Explain the concept of state space tree in backtracking as it relates to Aisha's trip planning.

A state space tree is a tree structure that represents all possible states and decisions in a backtracking algorithm.

A state space tree is used exclusively for dynamic programming problems.

A state space tree only represents the final solution of a backtracking problem.

A state space tree is a linear representation of all possible states in a sorting algorithm.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Imagine Ishaan is trying to find the best route for his road trip across n cities, but he can only visit each city once. He explores all possible routes to ensure he finds the shortest one. What is the time complexity of Ishaan's backtracking algorithm in the worst case?

O(n!)

O(n log n)

O(n^2)

O(2^n)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Imagine a chess tournament where players must strategically place their queens on an N x N chessboard. Each player, including Viaan, Naira, and Vanya, must ensure that no two queens threaten each other during the game.

The N-Queens problem is to place N queens on a 2 x 2 chessboard.

The N-Queens problem involves placing N knights on an N x N chessboard.

The N-Queens problem is to place N queens on an N x N chessboard so that no two queens threaten each other.

The N-Queens problem requires placing N queens in a single row of an N x N chessboard.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Mira is organizing a chess tournament and needs to place N chess queens on a chessboard in such a way that no two queens threaten each other. How can backtracking be used to solve the N-Queens problem?

Backtracking can be used to systematically explore and find all valid configurations of N-Queens by placing queens one at a time and backtracking upon conflicts.

Backtracking can only find one solution to the N-Queens problem, not all configurations.

Backtracking is used to place all queens simultaneously without checking for conflicts.

Backtracking involves randomly placing queens until a solution is found.

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