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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
Design a high-performance in-memory cache system for storing and retrieving data efficiently.
Use a hash table or a key-value store to store data in memory
Implement caching strategies like LRU (Least Recently Used) or LFU (Least Frequently Used) to manage cache eviction
Consider using a distributed cache for scalability and fault tolerance
Optimize cache size and expiration policies based on the application's data access
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I applied via Referral and was interviewed in Jun 2024. There was 1 interview round.
Asked to do coding for RDBMS using any programing language
Razorpay interview questions for designations
I applied via Referral and was interviewed in Mar 2024. There was 1 interview round.
In-memory SQL databases store data in memory for faster access and processing.
In-memory databases keep all data in RAM for quicker retrieval compared to disk-based databases.
Examples include SQLite in-memory database and Redis.
They are commonly used for caching, real-time analytics, and temporary data storage.
I was interviewed before Feb 2024.
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posted on 13 Feb 2025
I was interviewed in Jan 2025.
posted on 5 Jun 2024
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