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B and D.
PK Chunking allows splitting a Bulk API query to avoid a fill table scan, slow performance or failure of a data extraction or delete job. When the number of records is more than 10 million, PK Chunking can be used to split the query and break the data into smaller chunks.
Two steps: D and C
Multiple batches only make sense when they are run in parallel. Or does it mean that by using PK Chunking we split the result into multiple batches?
Correct Answer: B, D