Algorithms and Problem Solving Questions

Covers how a candidate approaches technical problems from clarifying requirements to producing correct and efficient implementations. Topics include asking clarifying questions, defining constraints, choosing and applying core data structures such as arrays, strings, trees, graphs, and hash maps, and employing algorithmic techniques including depth first search, breadth first search, dynamic programming, searching, and sorting. Candidates should be able to analyze time and space complexity, reason about edge cases and correctness, communicate trade offs clearly, and translate real world marketplace scenarios into algorithmic formulations that can be implemented and optimized.