Client Performance and Networking Questions

Covers concurrency and performance optimization for client applications, especially mobile and desktop apps. Topics include high level concurrency primitives and patterns such as Grand Central Dispatch, async and await, coroutines, thread safety, race condition prevention, deadlock avoidance, and testing for concurrency bugs. Networking topics include HTTP best practices, connection management, retry and backoff strategies, efficient request serialization, error handling, and use of standard networking libraries and frameworks. Performance concerns include application launch time reduction, memory footprint management, responsiveness and frame rate stability, battery and energy efficiency, and strategies for reducing networking cost and latency. Tooling and measurement include profiling and tracing techniques, using platform profilers and instruments for CPU, memory, and network analysis, capturing and interpreting performance traces, and identifying hotspots to guide optimization efforts. Candidates should be able to explain trade offs between responsiveness, resource usage, and code complexity and propose concrete optimizations and measurement approaches for client scenarios.