React Native Interview Handbook — Part 7 of 10: Coding Interview Practice
This is Part 7 of 10 , a bonus practice article containing 75 coding interview questions drawn from the React Native Interview Handbook. It covers the implementation tasks commonly used in JavaScript and React Native rounds, from string and array problems to hooks, FlatList , asynchronous work, caching, retries, and native modules. Complete series This Dev.to series has five core handbook articles plus five focused practice extras. Open the series page to move through the complete reading order: Part 1: JavaScript — core handbook, questions 1–120 Part 2: React — core handbook, questions 121–220 Part 3: React Native — core handbook, questions 221–420 Part 4: Performance & Architecture — core handbook, questions 421–560 Part 5: Senior & System Design — core handbook, questions 561–719 Part 6: Output-Based JavaScript Practice — bonus practice article Part 7: Coding Interview Practice — bonus practice article Part 8: Code Output Challenges — bonus practice article Part 9: Current React Native Interview Questions — new high-frequency practice article Part 10: Project & Production Interviews — senior project ownership and real-production practice How to answer coding questions Before coding, clarify inputs, output, edge cases, platform constraints, time complexity, space complexity, cancellation, and test coverage. Start with a correct readable solution, then optimize only when the constraint justifies it. Topics covered Strings, arrays, maps, sets, recursion, and algorithmic complexity Debounce, throttle, memoization, deep cloning, and polyfills Custom hooks, API state, error boundaries, and React rendering FlatList pagination, pull to refresh, search, and offline retry Promises, timeouts, concurrency limits, and exponential backoff Caching, EventEmitter, Pub/Sub, LRU design, and native module boundaries Interview coding checklist Confirm assumptions before writing code. State time and space complexity. Handle empty input, invalid input, and duplicate values deliberately