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I applied via LinkedIn and was interviewed in Feb 2024. There was 1 interview round.
Top trending discussions
I applied via Recruitment Consulltant and was interviewed before Mar 2022. There were 5 interview rounds.
Mettle Test based on DP based approach
Design a distributed queue similar to Kafka.
Use a distributed architecture with multiple brokers and partitions.
Implement a publish-subscribe model for producers and consumers.
Ensure fault tolerance and high availability through replication and leader election.
Use a log-based storage system for messages and offsets.
Provide support for message ordering and retention policies.
Implement a scalable and efficient message de...
Design a Price Tagger System
Identify the products to be tagged with prices
Determine the pricing strategy (e.g. cost-plus, value-based, etc.)
Choose the appropriate tagging technology (e.g. barcode, RFID, etc.)
Develop a user-friendly interface for tagging and updating prices
Implement a database to store product and pricing information
Integrate with point-of-sale systems for accurate pricing at checkout
I applied via Referral and was interviewed before Mar 2023. There was 1 interview round.
Basic coding test from hackerearth.
Designing search systems involves creating efficient algorithms and data structures to quickly retrieve relevant information.
Understand the data structure of the search system (e.g. inverted index, trie)
Implement efficient search algorithms (e.g. binary search, hash tables)
Consider scalability and performance optimization techniques (e.g. caching, indexing)
Include user-friendly features like autocomplete and spell corr...
I was interviewed in May 2023.
Some mcq questions on Java and 2 DSA medium questions
BookMyShow low level design for ticket booking system
Use microservices architecture for scalability and flexibility
Implement user authentication and authorization for secure transactions
Utilize databases for storing user and event information
Include payment gateway integration for seamless transactions
LRU cache is a data structure that stores a fixed number of items and removes the least recently used item when the cache is full.
Use a combination of a doubly linked list and a hashmap to implement the LRU cache.
When an item is accessed, move it to the front of the linked list to mark it as the most recently used item.
When adding a new item, check if the cache is full. If it is full, remove the least recently used ite...
Duration - 1 hour
Topic - DS/Algo
I applied via LinkedIn and was interviewed in Apr 2022. There was 1 interview round.
I applied via Approached by Company and was interviewed in May 2022. There were 3 interview rounds.
Array Based coding questions.
based on 1 interview
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