10+ Jaguar Land Rover Interview Questions and Answers for Freshers

The problem involves selecting K cities to install servers in Ninja Land to minimize the maximum distance from any city to a nearest server.

• Iterate through all possible combinations of K cities to select for server installation.

• Calculate the maximum distance from any city to the nearest server for each combination.

• Choose the combination that minimizes the maximum distance.

Determine if a given string can be converted into a 'Beautiful String' using a specific operation.

• Check if the input string is already a 'Beautiful String' by checking if it contains 'abc' in the correct positions.

• If 'abc' is present in the input string, check if the left and right portions satisfy the defined conditions.

• If the conditions are met, return 'True', otherwise return 'False'.

Calculate the product of two complex numbers represented as strings in the form 'A+Bi'.

• Parse the input strings to extract real and imaginary parts of both complex numbers

• Perform multiplication of the complex numbers using the formula (a+bi)*(c+di) = (ac - bd) + (ad + bc)i

• Format the result as a string in the form 'A+Bi' and return

Swap two integers 'a' and 'b' and output the swapped values.

• Create a temporary variable to store one of the integers before swapping

• Assign the value of 'a' to 'b' and the temporary variable to 'a'

• Output the swapped values as 'b' followed by 'a'

The task is to transform an integer array into a max binary heap structure.

• Create a max heap from the given array by rearranging elements.

• Check if each internal node has a value greater than or equal to its children.

• Output '1' if the transformed array represents a max-heap, else output '0'.

Find the K-th smallest element in an array of distinct integers.

• Sort the array and return the element at index K-1.

• Use a min-heap to find the K-th smallest element efficiently.

• Implement quickselect algorithm for optimal performance.

Implementing binary search and bubble sort algorithms in Python

• Binary search: Divide and conquer algorithm to find a target value in a sorted array

• Bubble sort: Iteratively swap adjacent elements if they are in the wrong order

• Example for binary search: def binary_search(arr, target):

• Example for bubble sort: def bubble_sort(arr):

Rotate a square matrix by 90 degrees anti-clockwise without using extra space.

• Iterate through each layer of the matrix from outer to inner layers

• Swap elements in groups of 4 to rotate the matrix in place

• Handle odd-sized matrices separately by adjusting the loop boundaries

Page replacement algorithms are used in operating systems to decide which page to replace when a new page needs to be brought in.

• FIFO (First In, First Out) - replaces the oldest page in memory

• LRU (Least Recently Used) - replaces the page that has not been used for the longest time

• LFU (Least Frequently Used) - replaces the page that has been used the least number of times

• Optimal - replaces the page that will not be used for the longest time in the future