Profinch Solutions Senior Software Engineer Interview Questions and Answers

Q1. Machine coding: Design in-memory document search
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Q1. HLD: Design a ad-click aggregation service
Ans. 
Design an ad-click aggregation service for tracking and analyzing ad clicks.
• Use a distributed system to handle high volume of ad click data

• Implement real-time processing for immediate insights on ad performance

• Utilize a database to store aggregated ad click data for reporting and analysis
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Q1. GCD of 2 strings
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Machine coding round.

Q1. Algorithm to calculate top k flight from source to destinaton.
Ans. 
Use Dijkstra's algorithm to find the top k shortest paths from source to destination.
• Implement Dijkstra's algorithm to find the shortest paths from source to all other nodes.

• Store the top k shortest paths found in a priority queue or heap.

• Return the top k shortest paths as the result.
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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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Q1. Reverse a string
Ans. 
Reverse a string by iterating through the characters and swapping them
• Create a function that takes a string as input

• Initialize two pointers, one at the beginning and one at the end of the string

• Swap the characters at the two pointers and move them towards the center until they meet
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Q2. 2 sum arrays problem
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Q1. Project discussions
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Q2. Cv discussion was held
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Q1. Explain Concurrency
Ans. 
Concurrency is the ability of a system to execute multiple tasks simultaneously.
• Concurrency allows multiple tasks to run concurrently, improving performance and efficiency.

• Concurrency can be achieved through multithreading or multiprocessing.

• Example: A web server handling multiple requests simultaneously using multithreading.
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Q2. Explain Acid principles
Ans. 
ACID principles are a set of properties that guarantee database transactions are processed reliably.
• Atomicity: Transactions are all or nothing. If one part of the transaction fails, the entire transaction is rolled back.

• Consistency: Transactions bring the database from one valid state to another. All constraints are satisfied.

• Isolation: Transactions are isolated from each other until they are completed.

• Durability: Once...read more
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Q1. Given a code snippet, do code review and provide all the improvements. Mainly they look at how well you can catch the logical errors over minor improvements
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Easy Medium questions

Q1. Asked to design Basic Facebook.
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