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I appeared for an interview before Sep 2020.
Round duration - 60 Minutes
Round difficulty - Easy
A thief is planning to rob a store and can carry a maximum weight of 'W' in his knapsack. The store contains 'N' items where the ith item has a weight of 'wi' and a value of...
Yes, the 0/1 Knapsack problem can be solved using dynamic programming with a space complexity of not more than O(W).
Use a 1D array to store the maximum value that can be stolen for each weight capacity from 0 to W.
Iterate through each item and update the array based on whether including the item would increase the total value.
The final value in the array at index W will be the maximum value that can be stolen.
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 60 Minutes
Round difficulty - Easy
System Design Round
Design a scalable system for Twitter with key components and architecture.
Use microservices architecture for scalability and fault isolation.
Key components include user service, tweet service, timeline service, and notification service.
Use a distributed database like Cassandra for storing tweets and user data.
Implement a message queue like Kafka for handling real-time updates and notifications.
Use a caching layer like ...
Round duration - 30 Minutes
Round difficulty - Easy
It is just a formality
Tip 1 : System Design
Tip 2 : Practice questions from leetcode
Tip 3 : Have some projects.
Tip 1 : Mention what you know
Tip 2 : Good previous work to showcase
I appeared for an interview in Feb 2025.
Data Structures, Coding MCQs
Depth-First Search (DFS) is a graph traversal algorithm that explores as far as possible along each branch before backtracking.
DFS uses a stack data structure, either explicitly or via recursion.
It starts from a selected node and explores each branch before backtracking.
Example: In a binary tree, DFS can be implemented using pre-order, in-order, or post-order traversal.
DFS can be used to find connected components in a ...
I applied via Instahyre and was interviewed in Nov 2024. There were 2 interview rounds.
Easy to medium questions, Questions on DSA and Node.js.
The three sum problem involves finding unique triplets in an array that sum to zero.
Sort the array to simplify finding triplets.
Use a loop to fix one element and apply two-pointer technique for the rest.
Skip duplicates to ensure unique triplets.
Example: For array [-1, 0, 1, 2, -1, -4], the triplets are [-1, -1, 2], [-1, 0, 1].
I applied via Campus Placement and was interviewed before Sep 2023. There were 2 interview rounds.
Basic coding only not to worry much
I am a passionate software developer with experience in Java, Python, and web development.
Experienced in Java, Python, and web development technologies
Strong problem-solving skills
Excellent team player with good communication skills
I have worked on various projects including a web-based inventory management system and a mobile app for tracking fitness goals.
Developed a web-based inventory management system using React and Node.js
Created a mobile app for tracking fitness goals using Flutter
Implemented RESTful APIs for communication between frontend and backend systems
I applied via Naukri.com and was interviewed in Oct 2024. There were 4 interview rounds.
Easy level to Medium level
2 Easy questions of DSA
The exam duration is one and a half hours.
The total exam time is one and a half hours.
It encompasses all topics related to full stack development.
In two years, I see myself as a senior software developer leading a team on innovative projects.
Advancing to a senior software developer role
Leading a team on new and innovative projects
Continuing to enhance my technical skills through ongoing learning and training
Sorting of an array and aptitude
Deadlock is a situation in computing where two or more processes cannot proceed because each is waiting for the other to release resources.
Occurs in multi-threaded environments when processes hold resources and wait for others.
Example: Process A holds Resource 1 and waits for Resource 2, while Process B holds Resource 2 and waits for Resource 1.
Can lead to system inefficiency and unresponsiveness.
Deadlock detection and...
A Red-Black Tree is a balanced binary search tree with specific properties to ensure efficient operations.
Each node is colored either red or black.
The root node is always black.
Red nodes cannot have red children (no two reds in a row).
Every path from a node to its descendant leaves must have the same number of black nodes.
This structure ensures O(log n) time complexity for insertion, deletion, and search operations.
Exa...
Local minima in a 2-D array are elements smaller than their neighbors. We can find them using various algorithms.
A local minimum is defined as an element that is less than its adjacent elements.
For example, in the array [[9, 8, 7], [6, 5, 4], [3, 2, 1]], the element 1 is a local minimum.
To find local minima, iterate through each element and compare it with its neighbors (up, down, left, right).
Consider edge cases where...
I appeared for an interview in Oct 2020.
Round duration - 75 minutes
Round difficulty - Medium
The test had 3 questions which had to solved in 75 minutes.The test was of medium difficulty.
Stark Industry is planning to organize meetings for various departments in preparation for Stark Expo. Due to limited rooms in Stark Tower, the goal is to alloca...
Determine the minimum number of conference rooms needed to schedule meetings without overlap.
Sort the meetings by start time.
Iterate through the meetings and keep track of the rooms in use.
If a meeting starts after another ends, it can reuse the same room.
If a meeting starts before another ends, a new room is needed.
Return the maximum number of rooms in use at any point.
You are provided with an integer X
and are tasked with identifying an integer Y
such that the bitwise XOR operation between X
and Y
yields the maximum possible value. The condition is t...
Find an integer Y such that XOR operation with X yields maximum value within given constraints.
Iterate from the most significant bit to find the highest bit that can be toggled to maximize XOR value.
To maximize XOR value, toggle the highest bit of X to 0 and all lower bits to 1.
Ensure the final Y does not exceed (2^61) - 1.
Example: For X = 3, the highest bit to toggle is at position 61, so Y = 2305843009213693950.
Examp...
You are provided with a non-decreasing array and an integer K. Your task is to remove exactly K elements from this array so that the maximum differenc...
Remove K elements from a non-decreasing array to minimize the maximum difference between adjacent elements.
Sort the array in non-decreasing order.
Iterate through the array and calculate the difference between adjacent elements.
Remove elements to minimize the maximum difference.
Return the minimized maximum difference.
Round duration - 60 minutes
Round difficulty - Easy
The interview was taken by SDE2 and she was very friendly. All the questions asked were related to DS and algo. The first 10 minutes were used for introductions and the last 5 minutes were reserved for any questions that I have. Always try to ask meaningful questions at the end of the interview.
Given a sorted array ARR
and a number X
, your task is to determine the count of occurrences of X
within ARR
.
X
is not found in the array, return...Count occurrences of a number in a sorted array efficiently.
Use binary search to find the first and last occurrence of the target number in the array.
Calculate the count of occurrences by subtracting the indices of the last and first occurrences.
Handle cases where the target number is not found in the array.
Time complexity: O(log(N)), Space complexity: O(1).
You are given a grid containing oranges where each cell of the grid can contain one of the three integer values:
Find the minimum time required to rot all fresh oranges in a grid.
Use Breadth First Search (BFS) to simulate the rotting process
Track the time taken to rot all oranges and return -1 if any fresh oranges remain
Handle edge cases such as no fresh oranges or all oranges already rotten
Consider using a queue to efficiently process neighboring oranges
Given a linked list where each node has two pointers: one pointing to the next node and another which can point randomly to any node in the list or ...
Yes, the cloning of a linked list with random pointer can be accomplished without utilizing extra space.
Use a hashmap to store the mapping between original nodes and cloned nodes.
Iterate through the original linked list to create the cloned linked list by mapping the random pointers using the hashmap.
Time complexity of this approach is O(N) where N is the number of nodes in the linked list.
Round duration - 60 minutes
Round difficulty - Medium
The focus of this round was mainly on my projects and internships. It was taken by a Senior SDE and it more of a technical interaction. I was asked in-depth about my projects and most of the questions asked around OS/DBMS were based on my projects.
The interviewer wanted to judge whether I have core knowledge about subjects like OS and DBMS and also about the projects that I had done.
Round duration - 60 minutes
Round difficulty - Easy
It was the culture fit round taken by the Director of Engineering.
Tip 1 : Learn the concepts, not the solutions.
Tip 2 : You should have deep knowledge about the projects mentioned in your resume.
Tip 1 : Resume should be only 1 page.
Tip 2 : Try to tell a story through your resume. For eg - always mention the impact or scale of your projects/internship.
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