What are two risks involved with batch sizes that are too small?


Universal containers built an integration using the Bulk API to load records from a legacy system into Salesforce, Parallel option with batch size 1000 was used However, the batches often fail due to " Max CPU time exceeded"errors which could be resolved with a Similar batch size.

What are two risks involved with batch sizes that are too small? Choose 2 answers
A . Possibilityof hitting the daily limit for number of batches.
B . possibility of very long bulk job execution times
C . Possibility of failures due to record-locking errors.
D . Possibility of hitting the "Too many concurrent batches" limit.

Answer: B,C