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Navi Technologies
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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...
posted on 5 Jun 2024
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
I applied via Approached by Company and was interviewed in Jul 2024. There were 3 interview rounds.
Normal DSA round from hacker rank
DSA round from hacker rank or leetcode
posted on 28 Oct 2024
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
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I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
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.
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...
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