Data Cloud enforces data types upon ingestion. The target field is defined with a Date datatype, which stores calendar dates without a time component (format yyyy-mm-dd). The source data contains values in both Date (yyyy-mm-dd) and DateTime (yyyy-mm-dd hh:mm:ss) formats. When a DateTime value is mapped to a Date field, Data Cloud automatically truncates the time portion and stores only the date. The ingestion will succeed for all rows, standardizing the values to the target field's Date format. No errors will be thrown for this specific conversion.

A. The ingestion process does not throw an error for this type of conversion; it truncates the time part and successfully stores the date.

B. The target field is strictly a Date datatype and cannot store the time component; the value will be conformed to the target type.

C. The time part is ignored, and the date part is stored, not the other way around. This option describes the opposite behavior.

1. Salesforce Help. (2024). Data Cloud Data Types. "Date: A calendar date. If a DateTime value is mapped to a Date field, the time part of the value is truncated." Table: Data Type Mappings.

2. Salesforce Developer Documentation. (2024). Prepare and Map Your Data. "During data mapping, ensure that the source field's data type is compatible with the target DLO field's data type. Data Cloud attempts to convert data where possible, such as removing the time component from a datetime value when mapping to a date field." Section: Data Type Considerations.