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Array is a fixed-size collection of elements, while ArrayList is a dynamic-size collection that can grow or shrink.
Array has a fixed length, while ArrayList can dynamically resize.
Array is more memory efficient, while ArrayList provides more flexibility.
Array can store primitive types and objects, while ArrayList can only store objects.
Array allows direct access to elements using index, while ArrayList requires methods...
LinkedList is better for frequent insertions and deletions, while ArrayList is better for frequent access.
LinkedList uses pointers to connect nodes, while ArrayList uses contiguous memory.
LinkedList has O(1) insertion and deletion, while ArrayList has O(n) for these operations.
ArrayList has O(1) access time, while LinkedList has O(n) for this operation.
LinkedList is better for implementing stacks and queues, while Arra...
Nodes are elements with child elements, while non-nodes are standalone elements.
Nodes are part of a hierarchical structure, while non-nodes are not.
Nodes can have child elements, while non-nodes cannot.
Examples of nodes include HTML elements like
Nodes are typically used in tree-like data structures, while non-nodes are used for standalone elements.
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...
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I appeared for an interview before Sep 2020.
Round duration - 90 minutes
Round difficulty - Easy
This round was held during university hours and consisted of 2 coding questions.
Round duration - 120 minutes
Round difficulty - Easy
Make sure you do no cutting and are clear about the approach you'd be following.
Running median of an input stream is the median value of the numbers seen so far in a continuous stream of data.
Maintain two heaps - a max heap for the lower half of the numbers and a min heap for the upper half.
Keep the number of elements in the two heaps balanced or differ by at most 1.
If the total number of elements is odd, the median is the root of the max heap. If even, it is the average of the roots of the two he...
Prepare for company-wise interview questions according to the company in which you are applying. Try to write the code yourself and if got stuck in between then take help from the internet. I recommend you Codezen of Coding Ninjas for practicing Data Structures and Algorithms based questions.
Application resume tips for other job seekersBe sure 100% of what you write in your resume and prepare for that before the interview what is written on resume.
Final outcome of the interviewSelectedI 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.
posted on 30 Nov 2015
I applied via Campus Placement
I applied via Referral
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 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
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