In Data Management, which statement is true about a batch?

• A. A batch can load to multiple plan types
• B. A batch replaces the need for data load rules
• C. Batches can execute data loads for multiple locations
• D. Batches can import from source or export to target, but not both

Answer: (C)

In Data Management, a batch serves as an orchestration container that can run one or more data load tasks across several locations in a single execution. That’s why the statement about batches being able to execute data loads for multiple locations is true: you can group different locations into one batch so the system processes all of them together, which simplifies scheduling and ensures consistency across loads.

A batch does not replace the data load rules themselves—you still need the rules to define how data is read, transformed, and written. Plan types are a separate dimension, so a batch isn’t inherently about loading to multiple plan types. And a batch isn’t limited to a single direction (import or export); it can encompass different operations across locations as part of the orchestration.