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I applied via Campus Placement and was interviewed in Dec 2016. There were 4 interview rounds.
Given a 2D matrix with doors and walls, fill distance matrix with minimum distance to the nearest door.
Iterate through the matrix and find the doors
Use Breadth-First Search (BFS) to calculate the minimum distance from each cell to the nearest door
Update the distance matrix with the minimum distances
Find kth smallest element in unordered array with O(1) space
Use the QuickSelect algorithm to partition the array and find the kth smallest element
Choose a pivot element and partition the array into two subarrays
Recursively partition the subarray that contains the kth smallest element
Repeat until the pivot element is the kth smallest element
Time complexity: O(n) average case, O(n^2) worst case
To find friends of friends who are not already friends with you, we can first find your friends and then their friends excluding yourself and your friends.
Get your list of friends
For each friend, get their list of friends
Exclude yourself and your friends from the final list of friends of friends
I appeared for an interview before Apr 2021.
Round duration - 60 minutes
Round difficulty - Medium
It started with an informal talk after he gave his introduction. We talked about the cyclone that was going to be there and what I did in my internship and my previous projects. Then we moved to questions. After solving both questions he asked if I had questions.
Given an array of distinct positive integers and a number 'K', your task is to find the K'th largest element in the array.
Array: [2,1,5,6,3,8], K ...
Find the Kth largest element in an array of distinct positive integers.
Sort the array in non-increasing order
Return the Kth element from the sorted array
Handle multiple test cases
Consider a grid containing oranges. Each cell in this grid can hold one of three integer values:
The task is to determine the minimum time required for all fresh oranges to become rotten in a grid.
Create a queue to store the rotten oranges and their time of rotting.
Iterate through the grid to find the initial rotten oranges and add them to the queue.
Perform BFS by popping each rotten orange from the queue, rot adjacent fresh oranges, and add them to the queue with updated time.
Continue until the queue is empty, ke...
Round duration - 45 minutes
Round difficulty - Easy
This was a design round.
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 May 2021.
Round duration - 120 minutes
Round difficulty - Easy
It was a mix of mathematical aptitude, logical ability, and puzzles along with 2 programming questions of easy and medium levels. Time was enough and no sectional time was present. 1-2 MCQs on SQL was also present.
Given a 2-dimensional boolean matrix mat
of size N x M, your task is to modify the matrix such that if any element is 1, set its entire row and column to 1. Specifi...
Modify a boolean matrix such that if any element is 1, set its entire row and column to 1.
Iterate through the matrix to find elements with value 1
Store the row and column indices of these elements
Update the entire row and column for each element found to be 1
Round duration - 60 minutes
Round difficulty - Easy
It was an online video interview round on HackerEarth with a simultaneous code option. It was mostly justifying your resume in the first 15 minutes. After that OOPS was majorly asked. Basics of programming including questions on STL were asked. A class that required inheritance was asked by the interviewer to write. I was helped by the interviewer if I got stuck somewhere, Some questions on the implementation of hashmaps and priority queues were also asked. A puzzle was asked which luckily struct to me at that moment.
Tip 1 : Clear basics
Tip 2 : Prepare well
Tip 3 : Do at-least 2 projects
Tip 1 : Write only those things in resume in which you are 100% confident
Tip 2 : Write maximum projects you have and be ready to explain them thoroughly
I applied via Recruitment Consultant and was interviewed before Jul 2020. There was 1 interview round.
Function to check if a string of parenthesis is balanced
Use a stack to keep track of opening parenthesis
If a closing parenthesis is encountered, pop from stack and check if it matches
If stack is empty and a closing parenthesis is encountered, return False
If all parenthesis are matched and stack is empty, return True
Count the occurrences of words in a paragraph.
Split the paragraph into words using whitespace as a delimiter.
Create a dictionary to store the count of each word.
Iterate through the words and increment the count in the dictionary.
Return the dictionary with the word counts.
Find common elements out of two sorted array
Use two pointers to traverse both arrays simultaneously
Compare elements at each pointer and move the pointer of the smaller element
If elements are equal, add to common elements list and move both pointers
Stop when either pointer reaches end of array
Convert a Binary Search Tree to a Doubly Linked List.
Create a DLL node class with left, right, and data fields.
Traverse the BST in-order and add each node to the DLL.
Adjust the left and right pointers of each node to create the DLL.
Return the head of the DLL.
The task is to fill the 'next' field of each node in a binary tree to point to the next node at the same level.
Use a level order traversal to process the tree nodes.
Maintain a queue to store the nodes at each level.
For each node, set its 'next' field to the next node in the queue.
If a node is the last node at its level, set its 'next' field to NULL.
To find anagrams of a given word in a dictionary, use a hash table to store sorted versions of each word as keys and their corresponding original words as values.
Create a hash table to store the anagrams
Iterate through each word in the dictionary
Sort the characters of the word and use it as a key in the hash table
If the key already exists, add the word to the list of values for that key
Print the list of values for the
Suggest a data structure for efficient search of a string in 10 files and print line number and file if string appears more than once.
Use a hash table to store the file name and line number of each occurrence of the string.
Iterate through each file and for each line, check if the string is present and update the hash table accordingly.
Print the hash table entries for the string.
Amazon is the right place for me because of its innovative culture, vast resources, and opportunities for growth.
Amazon's innovative culture aligns with my passion for pushing boundaries and finding creative solutions.
The company's vast resources provide the necessary tools and support to develop and deliver high-quality software.
Amazon offers numerous opportunities for growth and career advancement, allowing me to con...
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