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I applied via Referral and was interviewed before May 2022. There were 5 interview rounds.
Basic math question
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posted on 21 Mar 2015
I was interviewed in Apr 2017.
I am a software developer with a passion for coding and problem-solving. My family is supportive and has always encouraged my career in tech.
Experienced software developer
Passionate about coding and problem-solving
Supportive family that encourages my career in tech
I was interviewed before Mar 2021.
Round duration - 60 minutes
Round difficulty - Easy
This was an easy round which went really smooth.
Calculate the Nth term in the Fibonacci sequence, where the sequence is defined as follows: F(n) = F(n-1) + F(n-2)
, with initial conditions F(1) = F(2) = 1
.
Calculate the Nth Fibonacci number efficiently using dynamic programming.
Use dynamic programming to store previously calculated Fibonacci numbers to avoid redundant calculations.
Start with base cases F(1) and F(2) as 1, then iteratively calculate F(n) using F(n-1) and F(n-2).
Ensure the input N is within the constraints 1 <= N <= 10000.
Example: For N = 5, the 5th Fibonacci number is 5 (1, 1, 2, 3, 5).
Given a positive integer N
, your task is to determine and return all prime numbers less than or equal to N
.
N = 10
2 3 5 7
N = 20
Implement a function to return all prime numbers less than or equal to a given positive integer N.
Create a function that takes a positive integer N as input
Iterate from 2 to N and check if each number is prime
Use a helper function to determine if a number is prime
Return an array of all prime numbers less than or equal to N
A merge join in SQL is a method of combining two sorted datasets by matching corresponding rows based on a specified condition.
Merge join is used when joining two large datasets that are already sorted.
It is more efficient than other join methods like nested loop join or hash join for sorted datasets.
The join condition must be an equality condition.
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.i
Round duration - 30 minutes
Round difficulty - Easy
The round went excellent. I really enjoyed it. Just be confident about whatever you answer
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 was interviewed before Mar 2021.
Round duration - 60 minutes
Round difficulty - Easy
This round went well. Interview depends on your basic knowledge of C/C++.
Given two sparse matrices MAT1
and MAT2
of integers with dimensions 'N' x 'M' and 'M' x 'P' respectively, the goal is to determine the resulting matrix produced by their multipl...
Implement a function to multiply two sparse matrices and return the resulting matrix.
Create a function that takes two sparse matrices as input and returns the resulting matrix after multiplication
Iterate through the non-zero elements of the matrices to perform the multiplication efficiently
Handle the edge cases such as empty matrices or matrices with all zero elements
Ensure the dimensions of the matrices are compatible
Tanmay and Rohit are best buddies. Tanmay gives Rohit a challenge involving an array of N natural numbers. The task is to perform and answer a series of queries on the ...
Count the number of even or odd numbers in a range of an array based on given queries.
Create an array to store the input numbers.
Iterate through the queries and update or count even/odd numbers based on the query type.
Output the count of even or odd numbers for each query of type 1 or 2.
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.
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
Reverse all the words in a given string
Split the string into an array of words
Loop through the array and reverse each word
Join the reversed words back into a string
Explaining how to handle 'n' in a string during swapping process
Identify the positions of 'n' in the string
Exclude those positions from the swapping process
Use a temporary variable to swap the characters
Ensure the swapped characters are not 'n'
Return the modified string
We can use any sorting algorithm like quicksort, mergesort, heapsort, etc.
Choose the appropriate sorting algorithm based on the size of the file and the range of numbers
Implement the chosen algorithm in the programming language of choice
Read the numbers from the file into an array or list
Apply the sorting algorithm to the array or list
Write the sorted numbers back to the file
Word suggestions in Eclipse can be implemented using algorithms like Trie or N-gram models.
Use Trie data structure to store the dictionary of words
Implement auto-complete feature using Trie
Use N-gram models to suggest words based on context
Train the N-gram model on a large corpus of text data
Combine both approaches for better accuracy
Consider user's typing speed and frequency of words for better suggestions
To check if a number k lies in a sequence formed by adding previous 2 elements, start with a=0 and b=1 and iterate until k is found or exceeded.
Start with a=0 and b=1
Iterate through the sequence until k is found or exceeded
If k is found, return true. If exceeded, return false
Check if a Binary Tree is a Binary Search Tree (BST)
A BST has the property that all nodes in the left subtree of a node have values less than the node's value, and all nodes in the right subtree have values greater than the node's value
We can traverse the tree in-order and check if the resulting sequence is sorted
Alternatively, we can recursively check if each node satisfies the BST property
Keep track of kth largest number in a stream of numbers.
Use a min-heap of size k to keep track of kth largest number.
For each incoming number, compare it with the root of the heap.
If it is larger than the root, replace the root with the new number and heapify.
The root of the heap will always be the kth largest number.
Infix expression can be evaluated using the concept of operator precedence and associativity.
Convert the infix expression to postfix expression using stack data structure
Evaluate the postfix expression using stack data structure
Use operator precedence and associativity rules to determine the order of evaluation
Parentheses can be used to override the default order of evaluation
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