Airbnb Coding & Algorithms interview questions typically probe not just whether you can arrive at a correct solution, but how you think about constraints, trade-offs, and production-readiness. Interviews often focus on arrays and strings, hashing, trees and graphs, dynamic programming, and complexity analysis, with medium-to-hard LeetCode-style problems appearing in coding rounds. Interviewers evaluate algorithmic problem solving, clear decomposition, code quality (readability, edge-case handling, tests), and communication — plus a practical sense for performance and scalability when relevant. Expect a mix of take-home or online coding screens, paired coding sessions, and live whiteboard-style rounds. For interview preparation, prioritize mastering core data structures and patterns, timed practice on medium-to-hard problems, and mock pair-programming to sharpen verbal explanation and collaborative coding. Practice walking through complexity trade-offs, writing clean, well-tested code, and explaining edge cases and optimizations. Refresh fundamentals like hashing, two-pointers, sliding windows, DFS/BFS, and memoization, and rehearse concise, structured explanations so your interviewer can follow your reasoning.