Lyft Coding Interview Questions
32 Lyft coding interview problems with full optimal solutions — 20 easy, 10 medium, 2 hard. Every problem ships with multiple approaches (brute-force first, then the optimal), complexity tables for each, company-specific tips on what an Lyft interviewer values, and a FAQ section.
Showing 2 problems of 32
- #31hardfoundational
31. Serialize and Deserialize Binary Tree
Encode and reconstruct a binary tree via a string — Lyft applies the same BFS-serialization contract to persist driver-preference decision trees to its configuration store and reload them across service restarts without losing structure.
- #32hardfoundational
32. Trapping Rain Water
Compute water trapped between elevation bars — Lyft uses the two-pointer scan pattern to calculate residual ride capacity between demand spikes across time windows, finding how much latent supply is 'trapped' between peak surge events.
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