I went straight for a dict keyed by account ID and stored balance as the value, which was fine.
Start by clarifying requirements and assumptions, then propose a clean data model using hash maps for accounts and a transaction log for auditability. Walk through each operation, explicitly handling edge cases with appropriate error responses, and discuss trade-offs like concurrency and idempotency.
Pro tip: Mention that timestamps can be used to detect and reject out-of-order operations or to implement optimistic concurrency control, showing awareness of real-world banking constraints.
Ask about expected scale, concurrency needs, persistence, and whether timestamps are client-provided or server-generated. State your assumptions clearly.
Propose a hash map (dictionary) for accounts, mapping account ID to an account object containing balance and metadata. Optionally, maintain a transaction log for auditing.
For each operation (create, deposit, transfer), outline the steps: validate inputs, check account existence, verify sufficient balance, update balances atomically, and record the transaction with timestamp.
Explicitly address missing accounts (return error), insufficient balance (reject transfer), same-account transfer (no-op or error), and invalid timestamps (reject if older than last operation).
Talk about concurrency (locks vs. optimistic), idempotency (using timestamps or transaction IDs), and potential improvements like persistent storage or distributed systems.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.