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Concurrency & Multithreading Interview Questions

Comprehensive concurrency & multithreading interview questions and answers for Swift. Prepare for your next job interview with expert guidance.

49 Questions Available

Questions Overview

1. What is Swift Concurrency and how does it differ from traditional GCD?

Basic

2. How do Actors work in Swift and when should they be used?

Advanced

3. Explain async/await in Swift. What problems does it solve?

Moderate

4. What are Tasks in Swift Concurrency and how are they used?

Moderate

5. How does GCD (Grand Central Dispatch) work in Swift?

Basic

6. What are AsyncSequence and AsyncStream?

Advanced

7. How do you handle Task Cancellation in Swift Concurrency?

Moderate

8. What is the @MainActor attribute and when should it be used?

Moderate

9. How do you implement Concurrent Data Access in Swift?

Advanced

10. What are Task Groups and how are they used?

Advanced

11. How do you handle Asynchronous Testing in Swift?

Moderate

12. What are Sendable and @Sendable in Swift?

Advanced

13. How do you implement Concurrent Collections in Swift?

Advanced

14. What is AsyncThrowingStream and when should it be used?

Moderate

15. How do you handle Deadlock Prevention in Swift?

Advanced

16. What are the best practices for Error Handling in concurrent code?

Moderate

17. How do you implement Custom Executors in Swift?

Advanced

18. What is Task Priority and how is it managed?

Moderate

19. How do you implement Async Properties in Swift?

Advanced

20. What are the patterns for Background Task Management?

Moderate

21. How do you handle Concurrent Network Requests?

Moderate

22. What is AsyncLetBinding and when should it be used?

Advanced

23. How do you implement Rate Limiting in concurrent operations?

Advanced

24. What are the strategies for Memory Management in concurrent code?

Moderate

25. How do you implement Concurrent State Machines?

Advanced

26. How do Actors work in Swift and when should they be used?

Advanced

27. Explain async/await in Swift. What problems does it solve?

Moderate

28. What are Tasks in Swift Concurrency and how are they used?

Moderate

29. How does GCD (Grand Central Dispatch) work in Swift?

Basic

30. What are AsyncSequence and AsyncStream?

Advanced

31. How do you handle Task Cancellation in Swift Concurrency?

Moderate

32. What is the @MainActor attribute and when should it be used?

Moderate

33. How do you implement Concurrent Data Access in Swift?

Advanced

34. What are Task Groups and how are they used?

Advanced

35. How do you handle Asynchronous Testing in Swift?

Moderate

36. What are Sendable and @Sendable in Swift?

Advanced

37. How do you implement Concurrent Collections in Swift?

Advanced

38. What is AsyncThrowingStream and when should it be used?

Moderate

39. How do you handle Deadlock Prevention in Swift?

Advanced

40. What are the best practices for Error Handling in concurrent code?

Moderate

41. How do you implement Custom Executors in Swift?

Advanced

42. What is Task Priority and how is it managed?

Moderate

43. How do you implement Async Properties in Swift?

Advanced

44. What are the patterns for Background Task Management?

Moderate

45. How do you handle Concurrent Network Requests?

Moderate

46. What is AsyncLetBinding and when should it be used?

Advanced

47. How do you implement Rate Limiting in concurrent operations?

Advanced

48. What are the strategies for Memory Management in concurrent code?

Moderate

49. How do you implement Concurrent State Machines?

Advanced

1. What is Swift Concurrency and how does it differ from traditional GCD?

Basic

Swift Concurrency introduces: 1) async/await for asynchronous code, 2) Structured concurrency with tasks, 3) Actor model for state isolation, 4) Improved error handling, 5) Better code readability compared to completion handlers, 6) Built-in deadlock prevention. Unlike GCD, it provides compile-time checking and safer concurrency patterns.

2. How do Actors work in Swift and when should they be used?

Advanced

Actors provide: 1) Data race protection through isolation, 2) Synchronized access to mutable state, 3) Serial execution of methods, 4) Async interface for external access, 5) Safe state management across tasks, 6) Reference type semantics. Use actors when shared mutable state needs thread-safe access.

3. Explain async/await in Swift. What problems does it solve?

Moderate

async/await provides: 1) Structured approach to asynchronous code, 2) Elimination of completion handler pyramids, 3) Linear code flow for async operations, 4) Automatic error propagation, 5) Integration with throwing functions, 6) Better stack traces. Solves callback hell and improves code readability.

4. What are Tasks in Swift Concurrency and how are they used?

Moderate

Tasks represent: 1) Units of asynchronous work, 2) Structured task hierarchies, 3) Cancellation support, 4) Priority management, 5) Task-local storage, 6) Task groups for parallel execution. Tasks provide structured approach to managing concurrent operations.

5. How does GCD (Grand Central Dispatch) work in Swift?

Basic

GCD features: 1) Queue-based task execution, 2) Serial and concurrent queues, 3) Quality of service levels, 4) Dispatch groups for synchronization, 5) Barrier flags for synchronization, 6) Semaphores for resource management. Provides low-level concurrency primitives.

6. What are AsyncSequence and AsyncStream?

Advanced

AsyncSequence/AsyncStream provide: 1) Asynchronous iteration over values, 2) Back-pressure handling, 3) Cancellation support, 4) Integration with for-await-in loops, 5) Buffer control, 6) Continuation handling. Used for handling streams of asynchronous values.

7. How do you handle Task Cancellation in Swift Concurrency?

Moderate

Task cancellation involves: 1) Checking cancellation status, 2) Responding to cancellation, 3) Propagating cancellation to child tasks, 4) Implementing cleanup code, 5) Handling cancellation errors, 6) Setting up cancellation handlers. Ensures graceful task termination.

8. What is the @MainActor attribute and when should it be used?

Moderate

@MainActor ensures: 1) Code runs on main thread, 2) UI updates are safe, 3) State isolation for main thread, 4) Automatic thread switching, 5) Compile-time checking, 6) Integration with async/await. Use for UI-related code and main thread operations.

9. How do you implement Concurrent Data Access in Swift?

Advanced

Concurrent data access patterns: 1) Using actors for isolation, 2) Implementing thread-safe properties, 3) Queue-based synchronization, 4) Read-write patterns, 5) Lock mechanisms, 6) Copy-on-write for value types. Ensures thread-safe data access.

10. What are Task Groups and how are they used?

Advanced

Task Groups enable: 1) Parallel task execution, 2) Dynamic task creation, 3) Result collection, 4) Error handling, 5) Cancellation propagation, 6) Resource limiting. Used for managing multiple concurrent tasks with similar purpose.

11. How do you handle Asynchronous Testing in Swift?

Moderate

Async testing includes: 1) Using async test methods, 2) Implementing expectations, 3) Testing actor isolation, 4) Simulating delays, 5) Testing cancellation, 6) Verifying async sequences. Ensures proper testing of concurrent code.

12. What are Sendable and @Sendable in Swift?

Advanced

Sendable protocol ensures: 1) Safe cross-actor data transfer, 2) Value type conformance, 3) Thread-safe reference types, 4) Compile-time checking, 5) Actor isolation preservation, 6) Concurrent data safety. Used for safe data sharing between concurrent contexts.

13. How do you implement Concurrent Collections in Swift?

Advanced

Concurrent collections require: 1) Thread-safe access methods, 2) Atomic operations, 3) Lock-free algorithms, 4) Copy-on-write optimization, 5) Consistency guarantees, 6) Performance considerations. Ensures safe concurrent access to collection data.

14. What is AsyncThrowingStream and when should it be used?

Moderate

AsyncThrowingStream provides: 1) Asynchronous error handling, 2) Cancellation support, 3) Back-pressure management, 4) Buffer control, 5) Continuation handling, 6) Integration with async/await. Used for error-throwing asynchronous sequences.

15. How do you handle Deadlock Prevention in Swift?

Advanced

Deadlock prevention includes: 1) Using structured concurrency, 2) Implementing proper lock ordering, 3) Avoiding nested locks, 4) Using actors for isolation, 5) Implementing timeouts, 6) Proper resource release. Prevents concurrent access issues.

16. What are the best practices for Error Handling in concurrent code?

Moderate

Concurrent error handling: 1) Using async throws functions, 2) Implementing error propagation, 3) Handling task cancellation, 4) Managing timeouts, 5) Implementing retry logic, 6) Proper cleanup on errors. Ensures robust error management.

17. How do you implement Custom Executors in Swift?

Advanced

Custom executors require: 1) Conforming to Executor protocol, 2) Managing task scheduling, 3) Implementing priority handling, 4) Resource management, 5) Queue management, 6) Performance optimization. Used for specialized execution contexts.

18. What is Task Priority and how is it managed?

Moderate

Task priority management: 1) Setting priority levels, 2) Priority inheritance, 3) Priority escalation, 4) QoS integration, 5) Task scheduling impact, 6) Priority propagation. Ensures proper resource allocation for tasks.

19. How do you implement Async Properties in Swift?

Advanced

Async properties require: 1) Using async get keyword, 2) Managing property dependencies, 3) Handling cancellation, 4) Implementing caching, 5) Error handling, 6) Actor isolation consideration. Used for properties requiring async computation.

20. What are the patterns for Background Task Management?

Moderate

Background task patterns: 1) Task prioritization, 2) Resource management, 3) State preservation, 4) Background execution limits, 5) Task completion handling, 6) System integration. Ensures efficient background processing.

21. How do you handle Concurrent Network Requests?

Moderate

Concurrent networking: 1) Using async URLSession, 2) Implementing request grouping, 3) Managing timeouts, 4) Handling cancellation, 5) Error handling, 6) Response processing. Ensures efficient network operations.

22. What is AsyncLetBinding and when should it be used?

Advanced

AsyncLetBinding enables: 1) Parallel async operations, 2) Result dependency management, 3) Structured concurrency, 4) Error propagation, 5) Cancellation handling, 6) Resource optimization. Used for concurrent independent operations.

23. How do you implement Rate Limiting in concurrent operations?

Advanced

Rate limiting implementation: 1) Token bucket algorithm, 2) Time-based limiting, 3) Queue-based throttling, 4) Semaphore usage, 5) BackPressure handling, 6) Overflow management. Prevents resource exhaustion.

24. What are the strategies for Memory Management in concurrent code?

Moderate

Concurrent memory management: 1) Weak reference usage, 2) Proper closure capture, 3) Resource cleanup, 4) Cycle prevention, 5) Buffer management, 6) Leak detection. Ensures proper resource handling.

25. How do you implement Concurrent State Machines?

Advanced

Concurrent state machines: 1) Actor-based state management, 2) Thread-safe transitions, 3) Event handling, 4) State validation, 5) Error handling, 6) State observation. Ensures safe state management.

26. How do Actors work in Swift and when should they be used?

Advanced

Actors provide: 1) Data race protection through isolation, 2) Synchronized access to mutable state, 3) Serial execution of methods, 4) Async interface for external access, 5) Safe state management across tasks, 6) Reference type semantics. Use actors when shared mutable state needs thread-safe access.

27. Explain async/await in Swift. What problems does it solve?

Moderate

async/await provides: 1) Structured approach to asynchronous code, 2) Elimination of completion handler pyramids, 3) Linear code flow for async operations, 4) Automatic error propagation, 5) Integration with throwing functions, 6) Better stack traces. Solves callback hell and improves code readability.

28. What are Tasks in Swift Concurrency and how are they used?

Moderate

Tasks represent: 1) Units of asynchronous work, 2) Structured task hierarchies, 3) Cancellation support, 4) Priority management, 5) Task-local storage, 6) Task groups for parallel execution. Tasks provide structured approach to managing concurrent operations.

29. How does GCD (Grand Central Dispatch) work in Swift?

Basic

GCD features: 1) Queue-based task execution, 2) Serial and concurrent queues, 3) Quality of service levels, 4) Dispatch groups for synchronization, 5) Barrier flags for synchronization, 6) Semaphores for resource management. Provides low-level concurrency primitives.

30. What are AsyncSequence and AsyncStream?

Advanced

AsyncSequence/AsyncStream provide: 1) Asynchronous iteration over values, 2) Back-pressure handling, 3) Cancellation support, 4) Integration with for-await-in loops, 5) Buffer control, 6) Continuation handling. Used for handling streams of asynchronous values.

31. How do you handle Task Cancellation in Swift Concurrency?

Moderate

Task cancellation involves: 1) Checking cancellation status, 2) Responding to cancellation, 3) Propagating cancellation to child tasks, 4) Implementing cleanup code, 5) Handling cancellation errors, 6) Setting up cancellation handlers. Ensures graceful task termination.

32. What is the @MainActor attribute and when should it be used?

Moderate

@MainActor ensures: 1) Code runs on main thread, 2) UI updates are safe, 3) State isolation for main thread, 4) Automatic thread switching, 5) Compile-time checking, 6) Integration with async/await. Use for UI-related code and main thread operations.

33. How do you implement Concurrent Data Access in Swift?

Advanced

Concurrent data access patterns: 1) Using actors for isolation, 2) Implementing thread-safe properties, 3) Queue-based synchronization, 4) Read-write patterns, 5) Lock mechanisms, 6) Copy-on-write for value types. Ensures thread-safe data access.

34. What are Task Groups and how are they used?

Advanced

Task Groups enable: 1) Parallel task execution, 2) Dynamic task creation, 3) Result collection, 4) Error handling, 5) Cancellation propagation, 6) Resource limiting. Used for managing multiple concurrent tasks with similar purpose.

35. How do you handle Asynchronous Testing in Swift?

Moderate

Async testing includes: 1) Using async test methods, 2) Implementing expectations, 3) Testing actor isolation, 4) Simulating delays, 5) Testing cancellation, 6) Verifying async sequences. Ensures proper testing of concurrent code.

36. What are Sendable and @Sendable in Swift?

Advanced

Sendable protocol ensures: 1) Safe cross-actor data transfer, 2) Value type conformance, 3) Thread-safe reference types, 4) Compile-time checking, 5) Actor isolation preservation, 6) Concurrent data safety. Used for safe data sharing between concurrent contexts.

37. How do you implement Concurrent Collections in Swift?

Advanced

Concurrent collections require: 1) Thread-safe access methods, 2) Atomic operations, 3) Lock-free algorithms, 4) Copy-on-write optimization, 5) Consistency guarantees, 6) Performance considerations. Ensures safe concurrent access to collection data.

38. What is AsyncThrowingStream and when should it be used?

Moderate

AsyncThrowingStream provides: 1) Asynchronous error handling, 2) Cancellation support, 3) Back-pressure management, 4) Buffer control, 5) Continuation handling, 6) Integration with async/await. Used for error-throwing asynchronous sequences.

39. How do you handle Deadlock Prevention in Swift?

Advanced

Deadlock prevention includes: 1) Using structured concurrency, 2) Implementing proper lock ordering, 3) Avoiding nested locks, 4) Using actors for isolation, 5) Implementing timeouts, 6) Proper resource release. Prevents concurrent access issues.

40. What are the best practices for Error Handling in concurrent code?

Moderate

Concurrent error handling: 1) Using async throws functions, 2) Implementing error propagation, 3) Handling task cancellation, 4) Managing timeouts, 5) Implementing retry logic, 6) Proper cleanup on errors. Ensures robust error management.

41. How do you implement Custom Executors in Swift?

Advanced

Custom executors require: 1) Conforming to Executor protocol, 2) Managing task scheduling, 3) Implementing priority handling, 4) Resource management, 5) Queue management, 6) Performance optimization. Used for specialized execution contexts.

42. What is Task Priority and how is it managed?

Moderate

Task priority management: 1) Setting priority levels, 2) Priority inheritance, 3) Priority escalation, 4) QoS integration, 5) Task scheduling impact, 6) Priority propagation. Ensures proper resource allocation for tasks.

43. How do you implement Async Properties in Swift?

Advanced

Async properties require: 1) Using async get keyword, 2) Managing property dependencies, 3) Handling cancellation, 4) Implementing caching, 5) Error handling, 6) Actor isolation consideration. Used for properties requiring async computation.

44. What are the patterns for Background Task Management?

Moderate

Background task patterns: 1) Task prioritization, 2) Resource management, 3) State preservation, 4) Background execution limits, 5) Task completion handling, 6) System integration. Ensures efficient background processing.

45. How do you handle Concurrent Network Requests?

Moderate

Concurrent networking: 1) Using async URLSession, 2) Implementing request grouping, 3) Managing timeouts, 4) Handling cancellation, 5) Error handling, 6) Response processing. Ensures efficient network operations.

46. What is AsyncLetBinding and when should it be used?

Advanced

AsyncLetBinding enables: 1) Parallel async operations, 2) Result dependency management, 3) Structured concurrency, 4) Error propagation, 5) Cancellation handling, 6) Resource optimization. Used for concurrent independent operations.

47. How do you implement Rate Limiting in concurrent operations?

Advanced

Rate limiting implementation: 1) Token bucket algorithm, 2) Time-based limiting, 3) Queue-based throttling, 4) Semaphore usage, 5) BackPressure handling, 6) Overflow management. Prevents resource exhaustion.

48. What are the strategies for Memory Management in concurrent code?

Moderate

Concurrent memory management: 1) Weak reference usage, 2) Proper closure capture, 3) Resource cleanup, 4) Cycle prevention, 5) Buffer management, 6) Leak detection. Ensures proper resource handling.

49. How do you implement Concurrent State Machines?

Advanced

Concurrent state machines: 1) Actor-based state management, 2) Thread-safe transitions, 3) Event handling, 4) State validation, 5) Error handling, 6) State observation. Ensures safe state management.

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