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Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records. What should the architect recommend to reduce data load processing time?
Correct Answer: D
Loading new records via the Insert operation and existing records via the Update operation will allow using the external ID field as a unique identifier and avoid any duplication or overwriting of records. This is faster and safer than deleting all existing records or using the Upsert operation, which might cause conflicts or errors .
Recent Comments (The most recent comments are at the top.)
appy - Jun 15, 2025
it should be C
Jean - Jan 07, 2025
I don't think the Streaming API is the correct option since its function is not for bulk data loading
Afef - Oct 11, 2024
I think the best answer is A for the following reasons : A. Load Contact records together using the Streaming API via the Upsert operation.
This is a good approach. The Streaming API is designed for handling large volumes of data and can process records in near real-time. The Upsert operation is ideal when you have a mix of new and existing records, as it will insert new records and update existing ones based on the external ID field. D. Load new records via the Insert operation and existing records via the Update operation.
This approach requires separating the data into two sets (new and existing records) before loading, which adds complexity and potential for error. It doesn't leverage the efficiency of the Upsert operation.
Recent Comments (The most recent comments are at the top.)
it should be C
I don't think the Streaming API is the correct option since its function is not for bulk data loading
I think the best answer is A for the following reasons :
A. Load Contact records together using the Streaming API via the Upsert operation.
This is a good approach. The Streaming API is designed for handling large volumes of data and can process records in near real-time. The Upsert operation is ideal when you have a mix of new and existing records, as it will insert new records and update existing ones based on the external ID field.
D. Load new records via the Insert operation and existing records via the Update operation.
This approach requires separating the data into two sets (new and existing records) before loading, which adds complexity and potential for error. It doesn't leverage the efficiency of the Upsert operation.