Start by clarifying requirements and defining the core entities (accounts, transfers, transactions) and their relationships. Then outline the data structures and algorithms for each feature, focusing on trade-offs and edge cases. Finally, present a clean, modular implementation with tests, explaining your design choices as you go.
Pro tip: Emphasize correctness and edge cases (e.g., insufficient funds, expiry handling, merge conflicts) before optimizing performance; interviewers value a robust, well-tested solution over a prematurely optimized one.
Ask questions to pin down functional and non-functional requirements: account types, transfer scheduling (one-time vs recurring), expiry semantics, merge behavior, historical query granularity, and concurrency assumptions.
Specify the core classes (Account, Transfer, Transaction) and their attributes, along with the public API methods (e.g., createAccount, scheduleTransfer, mergeAccounts, getBalanceAt).
Choose appropriate structures: e.g., a min-heap or priority queue for scheduled transfers, a map for account lookup, and a time-indexed log or versioned balances for historical queries. Explain how merges are handled (e.g., redirect pointers, transfer re-assignment).
Write the single-threaded implementation, ensuring correct handling of edge cases: insufficient funds, expired transfers, merge conflicts, and historical balance reconstruction.
Walk through test scenarios (e.g., scheduling, expiry, merge, historical query) and discuss potential pitfalls or extensions (e.g., concurrency, persistence).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.