Tide - Business Management Platform Senior Software Engineer Interview Questions and Answers

Q1. Design a in-memory cache
Ans. 
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 ...read more
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Q1. Explain the last technically challenging topic that you have worked on. The engineering manager is only interested in self boasting. Without even trying to understand the entire problem statement, they try...read more
Ans. 
I recently tackled the challenge of optimizing a microservices architecture for a high-traffic e-commerce platform.
• Implemented service mesh using Istio to manage microservices communication and enhance observability.

• Refactored legacy monolithic components into smaller, independent services, improving deployment speed.

• Utilized Kubernetes for orchestration, enabling auto-scaling based on traffic patterns, which improved ...read more
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I was asked two DSA questions and duration was of one hour.
1. Calculate Sum of edges of LinkedList
2. Given a list of numbers, find out all the pythagorean triplets.

This was also a DSA round for 1 hour and expected to solve two problems (Medium)

This was a system design round for one hour

Implement thread safe load balancer.
focus on input validations and cover all corner cases in tests

Asked to do coding for RDBMS using any programing language

Q1. Machine coding: Design in-memory document search
Ans. 
Design an in-memory document search system for efficient querying and retrieval of documents.
• Use an inverted index to map keywords to document IDs for fast lookups.

• Implement a trie structure for prefix searches to enhance search capabilities.

• Consider using a scoring algorithm like TF-IDF to rank search results based on relevance.

• Utilize a caching mechanism to store frequently accessed documents for quicker retrieval.

• Su...read more
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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. Rating Service Low level design
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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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