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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...
I was interviewed in Oct 2016.
I applied via Campus Placement
Boundary traversal of a tree is the process of visiting the nodes on the boundary of a tree in a specific order.
The boundary traversal can be done in three steps: left boundary, leaf nodes, and right boundary.
For the left boundary, start from the root and traverse down the left side of the tree until reaching a leaf node.
For the leaf nodes, perform an inorder traversal to visit all the leaf nodes of the tree.
For the ri...
Find the nearest greater value of a given value in a Binary Search Tree (BST).
Start from the root node and compare the given value with the current node's value.
If the given value is less than the current node's value, move to the left subtree.
If the given value is greater than the current node's value, move to the right subtree.
Keep track of the closest greater value encountered while traversing the tree.
Return the cl
Given an infinite staircase with a broken kth step, find the maximum height we can reach in n rounds of jumping i steps.
We can start by jumping the maximum number of steps in each round until we reach the broken step.
After reaching the broken step, we can discard the i steps that would land us on the broken step and jump the remaining steps.
We can continue this pattern until we reach the maximum height we can reach wit
I was interviewed before May 2016.
I am a passionate software engineer with experience in developing web applications and a strong background in computer science.
Experienced in developing web applications using technologies such as HTML, CSS, JavaScript, and React
Strong background in computer science with knowledge of data structures and algorithms
Proficient in programming languages such as Java, Python, and C++
Familiar with Agile development methodolog
Flipkart is a leading e-commerce platform in India with a strong focus on technology and innovation.
Flipkart offers a challenging and dynamic work environment for software engineers.
The company has a strong reputation for investing in technology and innovation.
Flipkart has a large user base and offers opportunities to work on a variety of projects.
The company has a strong focus on customer satisfaction and user experie...
Yes, I am comfortable with reallocating as needed.
I am flexible and adaptable to changing circumstances.
I have experience working in dynamic environments where priorities can shift.
I am willing to take on new challenges and responsibilities as required.
I have a strong technical background, excellent problem-solving skills, and a proven track record of delivering high-quality software.
Extensive experience in software development, including proficiency in multiple programming languages such as Java, Python, and C++
Strong problem-solving skills demonstrated through successful completion of complex projects
Proven track record of delivering high-quality software on time a...
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
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