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UC is planning a massive SF implementation with large volumes of dat a. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner. What should a data architect do to minimize data load times due to system calculations?
Correct Answer: A
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.