A developer is loading the following records into a database: A,A,A,A B,B,B,B A,A,A,A C,C,C,C The database record has four fields each field will contain one letter from the file above. The update…

Zero inserts would only result if OnFailure-Rollback performed a global rollback of all previously committed records, which is not the behavior described in this scenario.

One insert would imply B,B,B,B also failed, but its first-field key 'B' is unique at insertion time so it commits successfully.

The first record (A,A,A,A) and the second record (B,B,B,B) are inserted successfully because their first-field keys are unique at the time of insertion, committing 2 records. When the third record (A,A,A,A) is processed, the duplicate key 'A' causes an insert failure because PDATE is not set to allow updates. OnFailure-Rollback rolls back the failed transaction and stops further processing, so C,C,C,C is never inserted, leaving exactly 2 records in the database.

Three inserts would require C,C,C,C to also be processed, but the rollback triggered by the duplicate 'A' key halts execution before that record is reached.

Four inserts is impossible because the second A,A,A,A record violates the unique constraint enforced by the update key on the first field.