Round2 (Technical 2): This interview supposed to be tougher than the previous one. The interviewer asked me about java fundamental questions. Notes: Look into topics like thread, garbage collection, collections framework. After that, he asked me to design LRU Cache. Was able to do that. Then asked me to implement Priority Queue. Also did that. And that was all for this round.
salary expectations
They asked algorithm questions to check my problem solving skills and data structure knowledge. One question was about fill color function. Basically they I asked how can you fill a given grid with the color of the selected pixel. Then they asked me about my favorite data structure and whether I know how it is implemented.
They asked about my past projects and also about my experience working remotely during pandemic.
What do you know about Glovo?
What relational database are you familiar with using?
The values interview questions were all provided beforehand by the internal recruiter, to allow the candidate to prepare answers in advance for each point. The technical interview tasks were also provided beforehand, for the candidate to prepare for, and to allow the candidate to practice both parts if they so desired. The first technical interview task was to domain model for a situation. The second technical interview task was to write the backend ruby code for a different requirement.
Why do you wanna work with us?
Technical Screening: 1. JVM - Working and Heap 2. Datastructures - Arrays, HashTable, Stack, Queues 3. Time and Space complexity 4. Process and thread - difference and relation 5. Deadlock and concurrency 6. SOLID principles 7. Composition vs Inheritance - Relationship and when to use what 8. CICD - Process 9. Deployment Strategies 10. Minimizing bugs in production 11. Observability and logging - basics like what metrics to check etc. 12. Difference, advantages and disadvantages of Monolith and microservice archs 13. Avoiding cascading failures - Circuit breaker 14. Domain Driven Design 15. Sql vs NoSql - their advantages and disadvantage, when to use what 16. ACID 17. CAP theorem 18. Database scalability - vertical and horizontal scaling
Snake and Ladder Problem Leetcode
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