Which steps must be complete before creating a data management data load rule?

To successfully create a data management data load rule, several prerequisites must be fulfilled. The correct steps involve defining the necessary mappings, such as period mappings and category mappings, which are essential for ensuring that data is correctly interpreted and loaded into the system.

Defining period mappings allows users to specify how different time periods correspond to the system's calendar, ensuring that data is assigned correctly in relation to time. Similarly, defining category mappings is crucial for aligning various data categories with the specific formats and structures required by the system. Reviewing the mapped data is also a key step to confirm that the mappings are correct and ready for the load process.

Completing these steps ensures that when the data load rule is finally created, it will function properly and eliminate errors during data import. This foundational work is significant because it maintains data integrity and consistency across the system.

The other options involve tasks that are either not relevant to the immediate requirements of creating a data load rule or do not encompass the necessary mappings that directly affect the load process. Hence, fulfilling the requirements listed in the correct choice is vital for a successful data load setup in the Profitability and Cost Management Cloud.