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3 coding questions, medium
Priority queue is a data structure that stores elements based on their priority, allowing for efficient retrieval of the highest priority element.
Priority queue can be implemented using a min heap, where the root node always contains the minimum element.
Insertion: Add the new element to the end of the heap and then heapify up to maintain the min heap property.
Deletion: Remove the root node (minimum element), move the l...
I appeared for an interview in Jan 2021.
I appeared for an interview in Aug 2016.
What people are saying about Eternal Limited
I appeared for an interview before Dec 2015.
I am excited to join the company because of its reputation for innovation and commitment to employee growth.
I am impressed by the company's track record of developing cutting-edge software solutions.
I appreciate the company's focus on fostering a culture of learning and development.
I am excited about the opportunity to work with a talented team of developers and contribute to the company's success.
I believe that the co...
I appeared for an interview before Jan 2021.
Round duration - 60 minutes
Round difficulty - Easy
Two coding questions were given in the first round to be solved in 60 minutes.
Given an array A
containing 'N' integers and an integer m
, rearrange the elements of the array such that the differences between the array elements and m
are sor...
Rearrange array elements based on their differences from a given integer.
Calculate the differences between each element and the given integer.
Sort the elements based on their differences while maintaining the original order for elements with the same difference.
Implement a function to rearrange the array elements as per the given criteria.
Given an arbitrary binary tree, a node of the tree, and an integer 'K', find all nodes that are at a distance K from the specified node, and return a list of th...
The task is to find all nodes in a binary tree that are at a distance K from a given node.
Traverse the binary tree to find the given node
From the given node, perform a depth-first search to find all nodes at distance K
Use a list to store the values of the nodes at distance K
Return the list of values in any order
Round duration - 60 minutes
Round difficulty - Easy
This was a technical round with questions based on DSA, DBMS, Computer Networking and project based questions.
Ninja is tasked with printing a triangle pattern based on a given number 'N' for any test case.
N = 4
1
232
34545
4567654
The pat...
Print a triangle pattern of numbers based on a given number 'N'.
Iterate through each row and print the numbers accordingly
Use spaces to center-align the numbers in each row
Increment the numbers in each row as per the pattern
Web server serves static content over HTTP, while application server runs dynamic content and business logic.
Web server handles HTTP requests and responses, serving static content like HTML, images, and CSS.
Application server executes business logic, runs dynamic content, and interacts with databases.
Web server examples include Apache, Nginx, while application server examples include Tomcat, JBoss.
Web server focuses on...
The internet is a global network of interconnected computers that communicate using standardized protocols.
The internet is made up of a vast number of interconnected networks of computers.
Data is transmitted over the internet using protocols such as TCP/IP.
Websites are hosted on servers connected to the internet, and users access them using web browsers.
Internet Service Providers (ISPs) provide access to the internet f...
SQL query to find the nth highest salary
Use the 'SELECT DISTINCT' statement to get unique salary values
Order the salaries in descending order using 'ORDER BY' clause
Use 'LIMIT' and 'OFFSET' to get the nth highest salary
Round duration - 30 minutes
Round difficulty - Easy
Typical HR round with behavioral problems.
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
I appeared for an interview before Dec 2020.
Round duration - 60 Minutes
Round difficulty - Medium
This round was purely based on Data Structures and Algorithms . One has to be fairly comfortable in solving Algorithmic problems to pass this round . Both the questions asked were quite common and luckily I had already prepared them from CodeStudio and LeetCode.
Given a Binary Tree with 'N' nodes, where each node holds an integer value, your task is to compute the In-Order, Pre-Order, and Post-Order traversals of the binar...
Compute the In-Order, Pre-Order, and Post-Order traversals of a Binary Tree given in level-order format.
Implement functions to perform In-Order, Pre-Order, and Post-Order traversals of a Binary Tree.
Use level-order input to construct the Binary Tree.
Traverse the Binary Tree recursively to generate the required traversals.
Ensure proper handling of null nodes represented by -1 in the input.
Return the three traversals as ...
Given a Singly Linked List of integers, your task is to reverse the Linked List by altering the links between the nodes.
The first line of input is an intege...
Reverse a singly linked list by altering the links between nodes.
Iterate through the linked list and reverse the links between nodes
Use three pointers to keep track of the current, previous, and next nodes
Update the links between nodes to reverse the list
Return the head of the reversed linked list
Round duration - 45 Minutes
Round difficulty - Medium
This round basically tested some concepts from Data Structures and File Manipulation .
Given two arrays A
and B
with sizes N
and M
respectively, both sorted in non-decreasing order, determine their intersection.
The intersection of two arrays in...
The problem involves finding the intersection of two sorted arrays efficiently.
Use two pointers to iterate through both arrays simultaneously.
Compare elements at the pointers and move the pointers accordingly.
Handle cases where elements are equal and update the intersection array.
Return the intersection array as the result.
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
posted on 24 Feb 2017
I appeared for an interview in Oct 2016.
I applied via Referral
Design optimal data structures for LRU cache
Use a doubly linked list to keep track of recently used items
Use a hash table to store key-value pairs for quick access
When an item is accessed, move it to the front of the linked list
When the cache is full, remove the least recently used item from the back of the linked list and hash table
Convert a sorted array to balanced binary search tree
Find the middle element of the array and make it the root of the tree
Recursively construct the left subtree using the left half of the array
Recursively construct the right subtree using the right half of the array
Repeat until all elements are added to the tree
Reverse a singly linked list in groups of k inplace
Divide the linked list into groups of k nodes
Reverse each group of k nodes
Connect the reversed groups to form the final linked list
A recursive routine to calculate a ^ n
The base case is when n is 0, in which case the result is 1
For any other value of n, the result is a multiplied by the result of a^(n-1)
The recursive function should call itself with a^(n-1) as the new input
Design optimal data structure for never-ending stream of numbers for insertion, deletion, searching, kth largest and kth smallest.
Use a balanced binary search tree like AVL or Red-Black tree for efficient insertion, deletion, and searching.
Maintain two heaps, one for kth largest and one for kth smallest.
For finding kth largest, use a min heap of size k and for kth smallest, use a max heap of size k.
Alternatively, use a...
I appeared for an interview in Feb 2017.
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