Performance Optimization and Code Quality Questions

Evaluate the candidates ability to identify performance bottlenecks propose pragmatic optimizations and maintain code quality. Topics include reducing unnecessary re renders rendering optimizations lazy loading code splitting bundle size reduction virtual scrolling pagination and choosing efficient data structures and algorithms. Candidates should explain profiling approaches using browser developer tools and telemetry to measure impact and present trade off analysis that balances performance gains with maintainability and development speed. The topic also covers writing modular testable code preventing memory leaks and following practices that improve long term code health.