Salesforce Certified Data Architecture Practice Test

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What should be considered when loading one million Opportunities into Salesforce using the Bulk API in parallel mode?

Create indexes on Opportunity object text fields.
Group batches by the AccountId field.
Sort batches by Name field values.
Order batches by Auto-number field.

The correct answer is: Group batches by the AccountId field.

When loading a large volume of Opportunities into Salesforce using the Bulk API in parallel mode, it is essential to consider the relationships between the records being imported. By grouping batches by the AccountId field, you ensure that all Opportunities related to a specific account are processed together. This is significant because Salesforce often requires that records maintain their relationships during processing. By keeping all Opportunities associated with the same AccountId in the same batch, you reduce the risk of data inconsistency and improve the likelihood of meeting Salesforce’s limits on certain relationships. This method can also enhance performance since the processing can be optimized when records are logically grouped together. In contrast, creating indexes on text fields, sorting by the Name field, or ordering by an Auto-number field does not directly impact the relationships between Opportunities and their respective Accounts. While these may have implications on performance or data retrieval, they do not ensure that the data is organized in a way that respects the existing relationships, which is crucial when bulk loading data. Thus, focusing on the AccountId provides a more structured approach, ensuring that the data import is effective and maintains the integrity of relationships in your Salesforce instance.