Salesforce Certified Data Architecture Practice Test

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Prepare for the Salesforce Certified Data Architecture Test. Use flashcards and multiple choice questions, each with hints and explanations. Ace your exam with confidence!

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What is the best practice for extracting large data volumes without impacting performance?

Run nightly exports using the regular API.
Use the Bulk API with parallel processing.
Utilize the Streaming API for live data extracts.
Connect directly to the database for data extraction.

The correct answer is: Use the Bulk API with parallel processing.

Using the Bulk API with parallel processing is the best practice for extracting large data volumes without impacting performance. The Bulk API is specifically designed to handle large datasets efficiently, allowing for the processing of thousands of records in a single request. This is particularly advantageous when working with massive amounts of data, as it minimizes the number of API calls and thus reduces overhead and latency associated with extracting data. Additionally, parallel processing allows multiple batch requests to be processed simultaneously, further enhancing extraction speed. This is crucial for maintaining performance, especially when executing large operations that could otherwise strain the system if processed sequentially. By leveraging the Bulk API's capabilities, organizations can optimize data extraction processes without adversely affecting users or system performance. The other methods, while viable under certain circumstances, do not match the efficiency and performance benefits of the Bulk API. Regular API exports could lead to throttling if too many requests are made within a limited time, while the Streaming API is more suitable for real-time notifications rather than bulk data extraction. Connecting directly to the database may violate Salesforce's best practices regarding data integrity and security, making it less desirable.