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posted on 29 Nov 2024
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posted on 16 Apr 2024
I applied via Walk-in and was interviewed before Apr 2023. There were 2 interview rounds.
Hashmap and string manipulation - optimization
I am a passionate software engineer with experience in developing web applications using various technologies.
Experienced in developing web applications using HTML, CSS, JavaScript, and frameworks like React and Angular
Proficient in backend development with Node.js and databases like MySQL and MongoDB
Familiar with version control systems like Git and deployment tools like Docker
I am a software engineer with 5 years of experience in developing web applications using Java, Spring Boot, and Angular.
5 years of experience in software development
Proficient in Java, Spring Boot, and Angular
Strong problem-solving skills
Experience working in Agile development environment
Passionate about learning new technologies
posted on 27 Mar 2024
I applied via Walk-in and was interviewed before Mar 2023. There was 1 interview round.
Design a system to create and manage short URLs for long URLs.
Use a database to store mappings of short URLs to long URLs.
Generate a unique short URL for each long URL using a hashing algorithm.
Implement a redirect service to redirect users from short URLs to long URLs.
Consider adding expiration dates for short URLs to manage storage.
Implement analytics to track usage of short URLs.
posted on 13 May 2017
I was interviewed before May 2016.
Implement LRU cache
LRU stands for Least Recently Used
It is a cache eviction policy that removes the least recently used item
It can be implemented using a doubly linked list and a hash map
Newly accessed items are moved to the front of the list
When the cache is full, the item at the end of the list is removed
Virtual memory is a memory management technique that allows a computer to use more memory than it physically has.
Virtual memory uses a combination of RAM and hard disk space to store data.
It allows programs to use more memory than is physically available.
If a program tries to access memory that is not currently in RAM, it will be swapped in from the hard disk.
Even if we had infinite RAM, virtual memory would still be n...
Find maximum length of subarray where max <= 2*min.
Iterate through array and keep track of max and min values.
Update max length when condition is met.
Time complexity: O(n)
I was interviewed before Mar 2021.
Round duration - 60 minutes
Round difficulty - Medium
Technical round with questions on DSA and OS.
Design and implement a data structure for a Least Recently Used (LRU) cache that supports the following operations:
get(key)
- Retrieve the value associated with the...Design and implement a Least Recently Used (LRU) cache data structure that supports get and put operations with a specified capacity.
Implement a doubly linked list to keep track of the order of keys based on their usage.
Use a hashmap to store key-value pairs for quick access and updates.
When a key is accessed or updated, move it to the front of the linked list to mark it as the most recently used.
When the cache reaches...
Given an array of non-negative integers and an integer K representing the length of a subarray, your task is to determine the maximum elements for each subarray of size ...
Find the maximum elements for each subarray of size K in a given array.
Iterate through the array and maintain a deque to store the indices of elements in decreasing order.
Pop elements from the deque that are out of the current window.
Keep track of the maximum element in each subarray of size K.
Return the maximum elements for each subarray.
Virtual memory is a memory management technique that allows a computer to compensate for physical memory shortages by temporarily transferring data from RAM to disk storage.
Virtual memory allows programs to use more memory than is physically available on the system.
It helps in multitasking by allowing multiple programs to run simultaneously without running out of memory.
Virtual memory uses a combination of RAM and disk...
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 Jan 2023.
Trapping rainwater problem
The problem involves calculating the amount of rainwater that can be trapped between bars in an elevation map
Use two pointers approach to calculate the water trapped at each bar
Keep track of the maximum height on the left and right of each bar to calculate the trapped water
Search for a target value in a sorted n*n matrix.
Start from the top-right corner or bottom-left corner of the matrix.
Compare the target value with the current element and move left or down accordingly.
Repeat until the target value is found or the boundaries of the matrix are crossed.
Create a Binary Search Tree (BST) from an incoming stream of nodes.
Start with an empty BST
For each incoming node, compare it with the root node and insert it accordingly
Repeat the process until all nodes are inserted
A well-structured database design is crucial for efficient data management.
Identify entities and their relationships
Normalize data to reduce redundancy
Choose appropriate data types and constraints
Consider performance and scalability
Document the design and update as needed
I was interviewed before Sep 2020.
Round duration - 40 minutes
Round difficulty - Easy
Timing: 12PM
Due to covid, the interviews happened over a video call on Zoom. They also shared an IDE link where we could write our code and the interview could see it.
The interviewer was very polite and helpful. She dropped hints in between to help me reach the final solution when I was stuck or needed some clarity. She wanted to check how analytically I could solve the problem. She focused more on my approaches towards the problem.
There was also a brief discussion on my resume and projects.
Given an N-ary tree where each node has at most 'N' child nodes, the task is to serialize the tree into a sequence of bits and then deserialize it back t...
Serialization and deserialization of an N-ary tree involves converting the tree into a sequence of bits and reconstructing the original tree from this format.
Serialize the N-ary tree by traversing it in level order and representing each node and its children using a space-separated sequence of integers.
Deserialize the serialized tree by parsing the input sequence and reconstructing the tree structure based on the provi...
Round duration - 40 minutes
Round difficulty - Medium
Timing: Mid-afternoon
Due to covid, the interviews happened over a video call on Zoom. They also shared an IDE link where we could write our code and the interview could see it.
The interviewer was very polite and helpful. He dropped hints in between to help me reach the final solution when I was stuck or needed some clarity. He wanted to check how analytically I could solve the problem. He focused more on my approaches towards the problem.
There was also a brief discussion on my resume and projects.
Create a data structure that maintains mappings between keys and values, supporting the following operations in constant time:
1. INSERT(key, value): Add or update t...
Design a constant time data structure for key-value mappings with operations like INSERT, DELETE, SEARCH, GET, GET_SIZE, and IS_EMPTY.
Use a hash table to achieve constant time complexity for operations.
Implement INSERT, DELETE, SEARCH, GET, GET_SIZE, and IS_EMPTY functions.
Ensure key is a string and value is a positive integer.
Return appropriate results based on the operation type.
Handle edge cases like key not found o
Round duration - 30 Minutes
Round difficulty - Medium
Timing: Evening
Due to covid, the interviews happened over a video call on Zoom. They also shared an IDE link where we could write our code and the interview could see it.
There was a panel of three people as interviewers in this round.
I was also asked one behaviour questions in this round.
You are provided with a directory path in Unix-style notation, and your task is to simplify it according to given rules.
In a Unix-style file system:
Given a Unix-style directory path, simplify it by following certain rules and return the simplified path.
Use a stack to keep track of directories while iterating through the input path.
Handle cases for '.', '..', and multiple slashes appropriately.
Return the simplified path by joining the directories in the stack with '/' separator.
Tip 1 : Focus on Data Structures and Algorithms. Practising questions based on them every day is the key to succeeding. You can enroll into a Data Structures and Algorithms course by Coding Ninjas. This course helped me build a strong foundation in these topics. I also recommend platforms like LeetCode and InterviewBit for further practice.
Tip 2 : During your interview THINK OUT LOUD!!! It is very important that you voice your approach towards the problem otherwise interviewer will have no clue what you are thinking.
Tip 3 : Do give mock interviews to some college senior or mentor. They help you understand how to express your thought process better (Think out loud) and also reduce the interview stress and anxiety.
Tip 1 : In order to make a strong resume you must include at least 2-3 Projects and an intern/work experience. Mention all your skills which you are confident of in your resume.
Tip 2 : Try to make it of one page only. You can use overleaf to make your resume.
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