3colon33 Interview Questions and Answers

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 ...read more

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)

Implemented a new customer feedback system that increased customer satisfaction by 20%

• Implemented a new customer feedback system to gather insights and improve customer experience

• Analyzed feedback data to identify common issues and areas for improvement

• Implemented changes based on feedback to address customer concerns and enhance overall satisfaction

• Trained team members on how to effectively use the new system and inte...read more

Reverse a binary search tree while maintaining parent-child relationship.

• Start by swapping the left and right child of each node recursively.

• Use a depth-first search approach to traverse the tree.

• Make sure to update the parent-child relationships accordingly.

To find min and max element in stack in O(1), we can use an auxiliary stack.

• Create an auxiliary stack to keep track of the minimum and maximum elements.

• Push the first element to both the main and auxiliary stack.

• For each subsequent element, compare it with the top element of the auxiliary stack and push the smaller element to the auxiliary stack.

• To get the minimum element, simply return the top element of the auxiliary...read more

Given an array, find the next minimum element for each element.

• Iterate through the array

• For each element, compare it with the elements on its right

• Find the minimum element greater than the current element

• If no such element exists, assign -1

• Build the resultant array

Find median of input stream in minimum time complexity using online algorithm.

• Use two heaps, one max heap for elements smaller than current median and one min heap for elements greater than current median.

• Maintain balance between the two heaps by ensuring that the size difference is at most 1.

• If the size of both heaps is equal, median is the average of the top elements of both heaps. Else, median is the top element of ...read more

To make a copy of a linked list with two pointers, iterate through the original list and create a new node for each element.

• Iterate through the original linked list

• Create a new node for each element

• Set the 'next' pointer of each new node

• Set the 'arbitrary' pointer of each new node

Reverse the nodes of a linked list in pairs of n

• Iterate through the linked list in pairs of n

• Reverse the nodes within each pair

• Connect the reversed pairs together

• Handle cases where the number of nodes is not a multiple of n

To check if a singly linked list is a palindrome, reverse the second half and compare it with the first half.

• Traverse the linked list to find the middle node

• Reverse the second half of the linked list

• Compare the reversed second half with the first half to check for palindrome

Given a preorder of binary tree with leaf nodes represented by N, construct the tree.

• Start by creating an empty stack.

• Iterate through the preorder list.

• If the current element is N, create a leaf node and push it onto the stack.

• If the current element is not N, create a new node and set its left child to the top of the stack.

• Pop the top of the stack and set it as the right child of the new node.

• Push the new node onto the...read more

The question asks to find the maximum occupancy word in each line of a given multiline string and also count the occupancy of capital and small letters separately.

• Split the multiline string into individual lines

• For each line, split it into words

• Initialize variables to store the maximum occupancy word and its count

• Iterate through each word and count the occupancy of each letter

• If the current word has a higher occupancy ...read more

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...read more

Algorithm to find the best buying and selling dates for maximum profit from given stock prices array.

• Iterate through the array and keep track of minimum price and maximum profit.

• If current price is less than minimum price, update minimum price.

• If current price minus minimum price is greater than maximum profit, update maximum profit and buying and selling dates.

• Return buying and selling dates.

• Example: [10, 7, 5, 8, 11,...read more

The code finds the number of ways to reach n steps by jumping 1 or 2 steps at a time.

• Use dynamic programming to solve the problem

• Create an array to store the number of ways to reach each step

• Initialize the array with base cases for 0 and 1 steps

• Iterate through the array and calculate the number of ways for each step

• Return the value at the last step

Amazon.com is an online retail giant with a vast selection of products and services.

• Advantages: Wide selection of products, competitive pricing, fast shipping, convenient shopping experience

• Disadvantages: Can put smaller retailers out of business, concerns over worker treatment and environmental impact

• Example: Amazon Prime offers free two-day shipping and access to streaming services like Prime Video and Music

• Example: ...read more

Use file locking mechanisms like flock or lockfile to make a file mutually exclusive on a shared file system.

• Use flock or lockfile to acquire a lock on the file before accessing it.

• Release the lock once the operation is complete.

• Ensure all processes accessing the file use the same locking mechanism.

• Example: flock /path/to/file -c 'command to execute'

• Example: lockfile /path/to/file && command to execute && rm -f /path/t

I am a software developer with 5 years of experience in developing web applications using Java and JavaScript.

• 5 years of experience in software development

• Proficient in Java and JavaScript

• Developed web applications

• Strong problem-solving skills

• Experience with agile development methodologies

Positive: Strong problem-solving skills, Negative: Can be overly critical of own work

• Positive: Strong problem-solving skills - I excel at breaking down complex problems and finding efficient solutions

• Negative: Can be overly critical of own work - I tend to be perfectionistic and struggle with accepting imperfections

I had a failure in implementing a new feature due to a lack of understanding of the requirements.

• I was assigned to develop a new feature for our software application.

• I misunderstood the requirements and implemented the feature incorrectly.

• During the testing phase, it was discovered that the feature was not functioning as expected.

• I took responsibility for the mistake and immediately communicated it to my team lead.

• I wo...read more

Replace every element in array with its closest maximum element in right.

• Iterate through the array from right to left

• Keep track of the maximum element seen so far

• Replace each element with the maximum element seen so far

Designing a distributed Hashtable and discussing its pros and cons.

• Distributed Hashtable is a data structure that stores key-value pairs across multiple nodes.

• Pros include scalability, fault tolerance, and load balancing.

• Cons include increased complexity, potential for data inconsistency, and slower performance due to network communication.

• Examples of distributed Hashtable implementations include Cassandra, Riak, and D