High-Concurrency Transaction Handling | Dataford Interview Questions

Describe a time you had to handle concurrent updates to user balances or transactions under time pressure.

Implement settle_transfers(initial_balances, transfers). The input is a map from account identifiers to integer balances and an array of transfer records. Ignore repeated deliveries of the same transaction ID, process unique transfers by ascending timestamp and then ID, apply only valid transfers with sufficient funds, and return final balances plus accepted and rejected transaction IDs.

Constraints

1 <= initial_balances.length <= 1000
1 <= transfers.length <= 1000
Every account referenced by a transfer appears in initial_balances
Transaction IDs are strings
Timestamps are integers
Transfer amounts are positive integers
Initial balances are non-negative integers
Repeated deliveries can contain the same transaction record

Function Signature

def settle_transfers(initial_balances, transfers):

Your question is High-Concurrency Transaction Handling. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Describe a time you had to handle concurrent updates to user balances or transactions under time pressure.

Constraints

1 <= initial_balances.length <= 1000
1 <= transfers.length <= 1000
Every account referenced by a transfer appears in initial_balances
Transaction IDs are strings
Timestamps are integers
Transfer amounts are positive integers
Initial balances are non-negative integers
Repeated deliveries can contain the same transaction record

Function Signature

def settle_transfers(initial_balances, transfers):

Your question is High-Concurrency Transaction Handling. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.