MCB Data Cloud Certification Practice Exam

What is the recommended strategy for separating loyalty data into distinct records from a custom object in Salesforce CRM?

1. Clone the data source object

2. Create a junction object

3. Use batch transforms

4. Create a data kit from the data lake object

The correct answer is: Use batch transforms

The recommended strategy for separating loyalty data into distinct records from a custom object in Salesforce CRM is to use batch transforms. This approach is effective because batch transformations allow for large volumes of data to be processed efficiently and systematically. When dealing with loyalty data, which can often be expansive and detailed, using batch processing helps in organizing and managing the data into separate records while ensuring data integrity and consistency. Batch transforms enable bulk operations on data, making it easier to handle updates, creates, or deletes in a controlled manner. They work well in environments where data needs to be transformed or manipulated according to specific business rules, like separating loyalty records, thus effectively maintaining a structured approach to data management. The other options present different scenarios that may not necessarily address the specific need for managing loyalty data as efficiently as batch transforms. Cloning a data source object could lead to redundancy and is not an ideal solution for separating and managing data records clearly. Creating a junction object is more applicable in scenarios involving many-to-many relationships rather than specifically separating data records. Lastly, creating a data kit from the data lake object might not focus on the immediate task of organizing loyalty data records but instead on broader data management and utilization. Hence, using batch transforms stands out as the most suitable and efficient strategy