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My first instinct was to just sort, which would've been wrong.
Clarify assumptions (e.g., uniqueness of starts/ends, possibility of cycles) and then propose an efficient solution using a hash map to link records by their start/end values. Walk through the algorithm step-by-step, analyze time and space complexity, and discuss edge cases and potential trade-offs.
Pro tip: Mention that you would validate the input to ensure it forms a single chain (e.g., exactly one start with no incoming edge and one end with no outgoing edge) and handle cycles or disconnected components gracefully.
Ask questions to confirm constraints: Are all start/end values unique? Can there be cycles? Is the chain guaranteed to be valid? What should be returned if no valid chain exists?
Use a hash map to map each start value to its record. Identify the starting record (the one whose start is not any record's end). Then traverse the chain by following the end-to-start links, concatenating payloads.
State that the solution runs in O(n) time and O(n) space. Discuss edge cases: empty list, single record, multiple chains, cycles, and duplicate start/end values.
Compare with alternative approaches (e.g., sorting by start, topological sort) and explain why the hash map approach is optimal for this scenario. Mention memory vs. time trade-offs.
Walk through a simple example to verify correctness, and optionally mention how you would write unit tests for edge cases.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.