answer

Match each type of data anomaly with its example. -~ lostupdate A.you perform an update on a set of rows when another transaction is perferming an insert - v dirty read that affects one or more rows in that same set of rows -+ non-repeatable read B.a transaction selects data that isn't committed by another transaction - v phantom read C.two SELECT statements that select the same data get different values because another transaction has updated the data in the time between the two statements D.two transactions select the same row and then update the row based on the values originally selected