The error “Max CPU time exceeded” occurs when a batch of records takes more than 10 minutes to process in the Bulk API. Using a smaller batch size can reduce the processing time and avoid this error. However, there are some trade-offs to consider when using a smaller batch size, such as:

Answer A is valid because a smaller batch size may cause record-locking errors if multiple batches try toupdate the same records or records that are related by a lookup or master-detail relationship. This can result in concurrency issues and data inconsistency1

Answer B is valid because a smaller batch size may increase the time required to executebulk jobs, as more batches need to be created and processed sequentially. This can affect the performance and efficiency of the integration1

Answer C is not valid because a smaller batch size may not exceed the concurrent API request limits, as the Bulk API does not count against the concurrent request limit. TheBulk API has its own limit on the number ofbatches that can be queued or in progress, which is 5,000 per rolling 24-hour period2

Answer D is not valid because a smaller batch size can trigger “Too many concurrent batches” error only if the number of batches exceeds the limit of 5,000 per rolling 24-hour period. Thiserror is not related to the parallel mode of the Bulk API, which allows up to 10 batches to be processed simultaneously