Top 50 Golang Interview Questions

Concurrency and Goroutines

1. What is a Goroutine in Go?
2. How do you create and start a Goroutine in Go?
3. What is the difference between Goroutines and traditional threads?
4. How does Go manage Goroutines internally?
5. What is a WaitGroup and how do you use it with Goroutines?
6. How do you handle errors in Goroutines?
7. What is the select statement and how is it used in Go?
8. What is the purpose of the sync package in Go, and how does it help with concurrency?
9. How do you prevent deadlocks when working with Goroutines?
10. What is a race condition, and how can you avoid it in Go?

Error Handling

11. How does error handling work in Go?
12. How do you define and use custom errors in Go?
13. What is the difference between panic and error in Go?
14. How do you handle multiple errors returned from a function in Go?
15. How does defer work in Go, and how is it related to error handling?

Package Management

16. What is the purpose of the go.mod file in Go?
17. How do you manage dependencies in Go using Go modules?
18. How do you update a dependency in Go using go get?
19. What is the difference between go get and go install in Go?
20. What is go.sum and why is it important?

Channels and Their Handling

21. What is a channel in Go, and how do you use it for communication between Goroutines?
22. What is the difference between buffered and unbuffered channels in Go?
23. How do you close a channel in Go, and what happens when a channel is closed?
24. What is a deadlock in channel communication, and how do you avoid it?
25. How does the select statement work with channels in Go?

Integration with Kafka

26. How do you integrate Kafka with a Go application?
27. What are Kafka producers and consumers in Go, and how do you use them?
28. How do you handle message serialization and deserialization in Kafka with Go?
29. What is the role of the confluent-kafka-go package in integrating Go with Kafka?
30. How do you handle failures and retries in Kafka producers in Go?

Distributed Systems

31. What challenges do you face when building distributed systems in Go?
32. How do you handle fault tolerance and data consistency in Go-based distributed systems?
33. What are some strategies for handling network partitioning in a Go-based distributed system?
34. How do you integrate Go with other distributed systems technologies, like gRPC?
35. How do you monitor and log a distributed Go application?

Worker Pool

36. What is a worker pool pattern in Go, and why is it useful?
37. How do you implement a worker pool using Goroutines and channels in Go?
38. How do you ensure that all worker pool tasks are completed before the program exits?
39. How do you control the number of workers in a worker pool in Go?
40. How can you optimize a worker pool to handle large volumes of tasks?

Performance Optimization

41. How can you profile the performance of a Go application?
42. What tools and libraries are available in Go for performance monitoring?
43. How do you optimize memory usage in Go applications?
44. How do you reduce latency in a Go application?
45. What are some techniques for optimizing I/O performance in Go?

Sync and Mutex

46. What is the purpose of a Mutex in Go, and how do you use it?
47. How does sync.RWMutex differ from sync.Mutex in Go?
48. What is the purpose of sync/atomic in Go, and when should you use it?
49. How do you avoid race conditions when using shared resources in Go?
50. How do you implement a read-write lock in Go?