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Question 196 - Certified Data Architect discussion

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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?

A.
Enable defer sharing calculations, and suspend sharing rule calculations
Answers
A.
Enable defer sharing calculations, and suspend sharing rule calculations
B.
Load the data through data loader, and turn on parallel processing.
Answers
B.
Load the data through data loader, and turn on parallel processing.
C.
Leverage the Bulk API and concurrent processing with multiple batches
Answers
C.
Leverage the Bulk API and concurrent processing with multiple batches
D.
Enable granular locking to avoid ''UNABLE _TO_LOCK_ROW'' error.
Answers
D.
Enable granular locking to avoid ''UNABLE _TO_LOCK_ROW'' error.
Suggested answer: A

Explanation:

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.

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asked 23/09/2024
Mark Theeuwes
41 questions
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