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I applied via Naukri.com and was interviewed in Apr 2024. There were 2 interview rounds.
OOPS (Object-Oriented Programming) concepts are the principles that define the foundation of object-oriented programming languages.
Encapsulation: Bundling data and methods that operate on the data into a single unit (object).
Inheritance: Allowing a class (subclass) to inherit properties and behavior from another class (superclass).
Polymorphism: The ability of different classes to be treated as instances of a common sup...
Java DSA , HTML , CSS , JS , MERN
I appeared for an interview in Aug 2017.
Merge Sort is a divide and conquer algorithm that sorts an array by dividing it into two halves, sorting them separately, and then merging the sorted halves.
Divide the array into two halves
Recursively sort the two halves
Merge the sorted halves
Find pairs of integers in a BST whose sum is equal to a given number.
Traverse the BST and store the values in a hash set.
For each node, check if (X - node.value) exists in the hash set.
If yes, add the pair (node.value, X - node.value) to the result.
Continue traversal until all nodes are processed.
Merge overlapping time intervals into mutually exclusive intervals.
Sort the intervals based on their start time.
Iterate through the intervals and merge overlapping intervals.
Output the mutually exclusive intervals.
Example: [(1,3), (2,6), (8,10), (15,18)] -> [(1,6), (8,10), (15,18)]
Different types of hashing and alternative for Linear Chaining
Different types of hashing include division, multiplication, and universal hashing
Alternative for Linear Chaining is Open Addressing
Open Addressing includes Linear Probing, Quadratic Probing, and Double Hashing
An AVL tree is a self-balancing binary search tree where the heights of the left and right subtrees differ by at most one.
AVL tree is a binary search tree with additional balance factor for each node.
The balance factor is the difference between the heights of the left and right subtrees.
Insertion and deletion operations in AVL tree maintain the balance factor to ensure the tree remains balanced.
Rotations are performed ...
Find the minimum number of squares whose sum equals to a given number n.
Use dynamic programming to solve the problem efficiently.
Start with finding the square root of n and check if it is a perfect square.
If not, then try to find the minimum number of squares required for the remaining number.
Repeat the process until the remaining number becomes 0.
Return the minimum number of squares required for the given number n.
Insertion sort for a singly linked list.
Traverse the list and compare each node with the previous nodes
If the current node is smaller, swap it with the previous node
Repeat until the end of the list is reached
Time complexity is O(n^2)
I appeared for an interview before May 2021.
Round duration - 90 minutes
Round difficulty - Medium
Around 65-70 people sat for the test. 15 people were shortlisted. It consisted of the following to be done in 90 minutes.
- 28 MCQs based on core CS
- 2 Coding questions – everyone had different and random questions. Most questions were custom logic based (easy level) including some standard questions – LCS, LIS, topological sort.
Round duration - 60 minutes
Round difficulty - Easy
Interviewer was very friendly. It started with the standard – tell me about yourself / introduce yourself type of question. Then he proceeded and asked two coding questions
Your friend has homework to complete. Help him by removing duplicates from a sorted linked list.
You are given the 'Head' of a sorted linked list. Modify the l...
Remove duplicates from a sorted linked list without adjacent duplicates.
Traverse the linked list while comparing current and next nodes.
If they are equal, skip the next node by updating the current node's next pointer.
Repeat until the end of the list is reached.
You are enrolled as a student and must complete N
courses, numbered from 1 to N, to earn your degree.
Some courses have prerequisites, which means that to take course i
,...
Check if it is feasible to complete all courses with prerequisites.
Create a graph representing the prerequisites with courses as nodes and edges as prerequisites.
Perform a topological sort on the graph to check if there is a cycle (if there is, then it's not feasible to complete all courses).
If there is no cycle, then it is feasible to complete all courses.
Round duration - 60 minutes
Round difficulty - Medium
This round had only 1 question. The interviewer introduced himself. And he advised me to clearly understand the problem before proceeding.
You are given a binary tree of distinct integers, along with two nodes, ‘X’ and ‘Y’. Your task is to determine the Lowest Common Ancestor (LCA) of ‘X’ and ‘Y’.
The LC...
Find the Lowest Common Ancestor of two nodes in a binary tree.
Traverse the binary tree to find the paths from the root to nodes X and Y.
Compare the paths to find the last common node, which is the Lowest Common Ancestor.
Implement a recursive function to efficiently find the LCA.
Handle cases where one node is an ancestor of the other.
Consider edge cases like when X or Y is the root node.
Round duration - 60 minutes
Round difficulty - Medium
Pretty Good Round. Fast Paced. We covered a lot of ground.
Design and implement a class BSTIterator
to perform an in-order traversal over a Binary Search Tree (BST). Your implementation should include the following me...
Design and implement a class BSTIterator to perform in-order traversal over a Binary Search Tree (BST).
Implement a parameterized constructor to initialize the iterator with the root of the BST.
Implement a method 'next()' to return the next smallest element in in-order traversal.
Implement a method 'hasNext()' to check if there exists a next smallest element in traversal.
Ensure the output is the in-order traversal of the
Given a binary array 'ARR' of size 'N', your task is to determine the maximum length of a sequence consisting solely of 1’s that can be obtained by converting at...
Find the maximum length of a sequence of 1's by converting at most K zeroes into ones in a binary array.
Iterate through the array and keep track of the current window of 1's and zeroes.
Use a sliding window approach to find the maximum length of consecutive 1's by flipping at most K zeroes.
Update the window based on the number of zeroes flipped and keep track of the maximum length found so far.
Return the maximum length ...
You are given an undirected and disconnected graph G(V, E)
having V
vertices numbered from 0
to V-1
and E
edges. Your task is to print its BFS traversal starting from the 0t...
BFS traversal of an undirected and disconnected graph starting from vertex 0.
Start BFS traversal from vertex 0 and visit all connected nodes in sorted order.
Use a queue to keep track of nodes to visit next.
Keep a visited array to avoid revisiting nodes.
Print the BFS traversal path as the nodes are visited.
Example: For input V=5, E=4 and edges 0-1, 0-2, 1-3, 2-4, the BFS traversal will be [0, 1, 2, 3, 4].
Given an undirected graph with V
vertices (labeled 0, 1, ..., V-1) and E
edges, each edge connects two nodes X
and Y
with a specified weight representing the dis...
Dijkstra's algorithm is used to find the shortest path distance from a source node to all other nodes in an undirected graph.
Implement Dijkstra's algorithm to find the shortest path distance from node 0 to all other nodes in the graph.
Use a priority queue to efficiently select the next node with the shortest distance.
Initialize distances to all nodes as infinity, except for the source node which is 0.
Update distances t...
Round duration - 60 minutes
Round difficulty - Hard
Bar Raised Round. Definitely felt the difficulty.
You are given a string consisting of English alphabet characters. Your task is to identify and return the first character in the string that does not repeat...
Identify and return the first non-repeating character in a string, or the first character if all characters repeat.
Iterate through the string to count the frequency of each character
Iterate through the string again to find the first character with frequency 1
If no such character is found, return the first character of the string
Tip 1 : Practice at least 250 Questions, Give yourself enough time for preparation. Cramming won't take you very far. In books, I really liked Elements of Programming Interviews.
Tip 2 : Make sure to brush up your basics - coding style, OOPs, Language features. They help in making an impression.
Tip 3 : Don't worry about solving the question in the interview. Learn to tackle any random problem with the best of your ability. More often than not, that'd be enough.
Tip 1 : Keep your resume clean - no graphics, no multiple fonts. Keep it one page.
Tip 2 : Don't go over board in mentioning skills, only mention the things you are truly confident about.
I appeared for an interview before Sep 2020.
Round duration - 60 minutes
Round difficulty - Easy
Round duration - 50 minutes
Round difficulty - Easy
Round duration - 60 minutes
Round difficulty - Easy
At the beginning of this round, the interviewer asked me about the data structures I knew. Linked lists, trees, graphs, arrays etc. was my answer. He asked me how well I knew Dynamic Programming. I said I wasn’t strong in that and he said that he would ask me a question on dynamic programming for sure.
Round duration - 40 minutes
Round difficulty - Easy
The interviewer asked me if I was comfortable with the interview process so far and how the previous interviews were. I said it was good and he gave me the first problem to solve.
Round duration - 60 minutes
Round difficulty - Easy
The interviewer asked me some Computer Science fundamentals in this round as well as some behavioural questions.
Implement a Trie data structure with insert and search functions.
Create a TrieNode class with children and isEndOfWord attributes.
Implement insert function to add words by iterating through characters.
Implement search function to check if a word exists by traversing the Trie.
Example: Insert 'apple', 'banana', 'orange' and search for 'apple' and 'grape'.
Do lot of hard work and practice of Data Structures and Algorithms based questions. I personally recommend you Coding Ninjas and Geeks For Geeks for interview preparation.
Application resume tips for other job seekersMake your resume short and try to make it of one page only and do mention all your skills which you are confident of in your resume.
Final outcome of the interviewSelectedI appeared for an interview before Sep 2016.
Search an element in sorted rotated array.
Use binary search to find the pivot point where the array is rotated.
Divide the array into two subarrays and perform binary search on the appropriate subarray.
Handle the cases where the target element is at the pivot point or not present in the array.
Find the Kth largest element in an array.
Sort the array in descending order and return the element at index K-1.
Use a max heap to find the Kth largest element efficiently.
Implement a quickselect algorithm to find the Kth largest element in linear time.
Reverse a linked list in groups of n elements.
Divide the linked list into groups of n elements.
Reverse each group individually.
Connect the reversed groups to form the final linked list.
Handle cases where the number of elements is not a multiple of n.
Example: 1->2->3->4->5->6->7->8, n=3 -> 3->2->1->6->5->4->8->7
Find the median of two sorted arrays.
Merge the two arrays into one sorted array and find the median.
Use binary search to find the median in O(log(min(m, n))) time complexity.
Handle edge cases like empty arrays or arrays of different lengths.
Count number of paths from (0, 0) to (m, n) in a matrix while crossing through some indexes were not allowed.
Use dynamic programming to solve the problem
Create a 2D array to store the number of paths
Traverse the matrix and update the array based on the allowed paths
Return the value at the last index of the array
I appeared for an interview in Aug 2017.
Print the level order traversal of binary tree in spiral form
Perform level order traversal of the binary tree
Alternate the direction of traversal for each level
Use a stack to reverse the order of nodes in each level
Print the nodes in the order of traversal
Find the maximum element in each subarray of size k in a given array.
Iterate through the array from index 0 to n-k.
For each subarray of size k, find the maximum element.
Store the maximum elements in a separate array.
Return the array of maximum elements.
To find the Kth largest element in two sorted arrays, we can use the merge step of merge sort algorithm.
Merge the two arrays into a single sorted array using a modified merge sort algorithm.
Return the Kth element from the merged array.
Merge two sorted arrays into one sorted array with expected time complexity of (m+n).
Use a two-pointer approach to compare elements from both arrays and merge them into the first array.
Start comparing elements from the end of both arrays and place the larger element at the end of the first array.
Continue this process until all elements from the second array are merged into the first array.
The algorithm finds the position of the 3rd occurrence of 'B' in an n-ary tree from a given index in constant time complexity.
Traverse the n-ary tree using a depth-first search (DFS) algorithm
Keep track of the count of 'B' occurrences
When the count reaches 3, return the current position
If the end of the tree is reached before the 3rd 'B', return -1
Check if a given string is a composite of two words from a limited dictionary.
Create a hash set of all the words in the dictionary.
Iterate through all possible pairs of substrings in the given string.
Check if both substrings are present in the hash set.
If yes, return true. Else, return false.
Switch adjacent nodes in a single linked list.
Traverse the linked list and swap adjacent nodes.
Keep track of previous node to update its next pointer.
Handle edge cases for first two nodes and last node.
Example: 1->2->3->4 becomes 2->1->4->3.
Traverse only the left sub-tree of a binary search tree.
Start at the root node
If the left child exists, visit it and repeat the process
If the left child does not exist, return to the parent node
Continue until all nodes in the left sub-tree have been visited
Design an efficient data structure for two lifts in a building of n floors.
Use a priority queue to keep track of the floors each lift is heading to
Implement a scheduling algorithm to determine which lift to assign to a new request
Consider adding a weight limit to each lift to prevent overloading
Use a hash table to keep track of the current location of each lift
To find the maximum number that can be formed from the digits of an integer.
Convert the integer to a string
Sort the characters in descending order
Join the sorted characters to form the maximum number
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