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If additional fields like eye color and hair color are needed for a beauty company in Data Cloud, what is the best recommendation to map this data?

  1. Create a custom DMO from scratch that has all fields that are needed

  2. Create a custom DMO with only the additional fields and map it to the standard individual DMO

  3. Create custom fields on the standard Individual DMO

  4. Duplicate the standard individual DMO and add the additional fields

The correct answer is: Create custom fields on the standard Individual DMO

The choice to create custom fields on the standard Individual DMO is a logical approach for integrating additional attributes like eye color and hair color into the existing data model. By adding these fields directly to the standard Individual DMO, the company ensures that the foundational data structure remains intact while still accommodating the specific needs of the beauty company. This method allows for seamless integration and avoids complexity that could arise from maintaining separate structures. Custom fields enhance the existing DMO without the need for extensive changes to the overall database architecture. Additionally, this approach enables the beauty company to leverage any existing functionalities or features of the standard DMO, such as validation rules and relationships, which might be beneficial for retaining data integrity and consistency. Furthermore, adding fields directly to the standard model avoids the potential difficulties associated with synchronization and data integrity that might come with using multiple DMOs or duplicating models. This ensures all data remains coherent and manageable within a single system, ultimately supporting better data analysis and reporting capabilities.