Which option represents the no-code approach used to normalize problematic data during import?

Which option represents the no-code approach used to normalize problematic data during import?

• A. Data Mapping Templates
• B. Field Normalization Rules
• C. Import Wizard
• D. Data Cleansing Scripts

Answer: (B)

Field Normalization Rules provide a no-code way to standardize values as data is imported. By configuring rules in the UI, you can transform source values into a consistent, canonical form—handling things like varying country names, abbreviations, or phone formats—without writing any code. This ensures data quality right at import time. Data Mapping Templates focus on linking source fields to destination fields rather than enforcing value formats. The Import Wizard guides the import process but doesn’t itself apply normalization rules. Data Cleansing Scripts, on the other hand, involve writing custom code to modify data, which is not no-code.

Field Normalization Rules provide a no-code way to standardize values as data is imported. By configuring rules in the UI, you can transform source values into a consistent, canonical form—handling things like varying country names, abbreviations, or phone formats—without writing any code. This ensures data quality right at import time.

Data Mapping Templates focus on linking source fields to destination fields rather than enforcing value formats. The Import Wizard guides the import process but doesn’t itself apply normalization rules. Data Cleansing Scripts, on the other hand, involve writing custom code to modify data, which is not no-code.