A data team needs to find unexpected null rates and value distributions before choosing transformations. Which approach best fits?

1. Validate referential relationships and quarantine or resolve orphaned records.
2. Remove target leakage and rebuild an appropriately timed evaluation split.
3. Profile the source data and compare results with expected constraints.
4. Add business-rule validation for value range and currency consistency.