Simple asynchronous programming
Ingeniero De Software Backend Interview Questions
9,117 ingeniero de software backend interview questions shared by candidates
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
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What is the first improvement you would do for an SQL query that is slow?
Implement a function that uses graph data structure
Coding
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.
4 Challenges in Hackerrank
Coding questions, no references allowed, no built in library functions allowed.
90 mins. A spring boot hackerrank question. As soon as you log into the hackerrank test. You will get a GitHub URL. You can copy the URL and clone the repository in your local. You have to work on your local machine and keep pushing your commits to the repository. All the necessary POJOs, service implementation, and databases are in place I was asked to implement the following questions: 1. Implement a GET /hotel/{id} to retrieve a hotel by Id 2. Implement a DELETE /hotel/{id} to delete a hotel by Id. (It should not be actually deleted from the system but should be marked as 'deleted') 3. Search all the hotels closest to the city center. /search/{cityId}. The city object has latitude and longitude and the hotel object also has latitude and longitude. The distance between two can be calculated using the haversine formula, (The question says we can use the internet to calculate the haversine formula)
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