Open Financial Technologies Private Limited UI Frontend Developer Interview Questions and Answers

Q1. Find edge score of the nodes in a directed graph
Ans. 
Edge score of nodes in a directed graph
• Edge score is a measure of the importance of a node in a graph

• It is calculated by counting the number of edges that point to or from a node

• Nodes with higher edge scores are considered more important

• Edge score can be calculated using algorithms like PageRank or HITS
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Q1. Rotten oranges after every second in 2D matrix
Ans. 
Simulate rotting of oranges in a 2D matrix every second.
• Create a queue to store the coordinates of fresh oranges

• Iterate through the matrix and add the coordinates of fresh oranges to the queue

• Simulate the rotting process by iterating through the queue and rotting adjacent fresh oranges

• Keep track of the time taken for all oranges to rot

• Return -1 if there are any fresh oranges left after the simulation
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Q2. Java and Spring concepts, HTTP, HTTPS, OSI layers
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Q3. DB design for air ticket booking system
Ans. 
DB design for air ticket booking system
• Create tables for flights, passengers, bookings, and payments

• Use foreign keys to establish relationships between tables

• Include fields for flight details, passenger information, and payment details

• Consider implementing a caching mechanism for frequently accessed data
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Technical MCQs (OS, CN, etc.), 2 coding questions (medium level)

Q1. Leetcode - Rainwater Harvesting
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Q2. Leetcode - Array/String
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Q1. HR + Resume Review (Technical)
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Q2. Explain Projects/Experience
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In round 1 we could only use Java

Q1. Interviewers are very friendly. Mostly the questions were based on SQL, dsa
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Q1. Minimum number of platforms required for train station
Ans. 
Minimum of two platforms are required for a train station.
• At least two platforms are needed for trains to arrive and depart simultaneously.

• Additional platforms may be required depending on the frequency of trains and passenger traffic.

• Platforms should be long enough to accommodate the longest trains that will use the station.
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Q2. Longest Palindromic substring
Ans. 
The problem is to find the longest substring that is a palindrome in a given string.
• A palindrome is a string that reads the same backward as forward.

• We can use dynamic programming to solve this problem.

• We can start by considering each character as the center of a palindrome and expand outwards to find the longest palindrome.

• We can also optimize the solution by using Manacher's algorithm which reduces the time complexit
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Q1. Sort the elements of an unsorted array
Ans. 
Use any sorting algorithm to sort the elements of an unsorted array.
• Choose an appropriate sorting algorithm based on the size of the array and the type of elements.

• Common sorting algorithms include bubble sort, insertion sort, selection sort, merge sort, quick sort, and heap sort.

• Implement the chosen algorithm in the programming language of your choice.

• Test the sorting function with various input arrays to ensure corre
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Q2. Minimum energy required to cross all the hurdles without loosing life. If any point energy becomes 0 game over. Input: [-2,-3,3,1,5]
Ans. 
Find minimum energy required to cross all hurdles without losing life.
• Calculate cumulative sum of energy required to cross each hurdle.

• Find the minimum cumulative sum and add 1 to it.

• If the minimum cumulative sum is negative, return its absolute value + 1.

• This is the minimum energy required to cross all hurdles without losing life.
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Coding test was conducted in hacker earth

Q1. In technical interview they asked the current company work and asked the Instagram db design and usecases and api response of the comment section
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Q2. They asked about the coding test question in round 1
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Q1. Tech concepts and algo
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Q1. Startup mindset
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Q1. Speed and quality
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Q1. Low Level Design: How to do rate limiting for a platform serving 100K requests per second.
Ans. 
Implement rate limiting for a platform serving 100K requests per second.
• Use a token bucket algorithm to limit the rate of incoming requests.

• Set a maximum number of tokens in the bucket to control the rate.

• Refill the bucket at a constant rate to allow bursts of requests.

• Track the timestamp of the last request to enforce the rate limit.

• Consider using a distributed rate limiting system for scalability.

• Monitor and adjust t...read more
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