Salesforce Certified Data Architecture Practice Test

What data extraction strategy should a data architect recommend for migrating 100 million records to an enterprise data warehouse?

1. Install a third-party AppExchange tool.

2. Call the REST API in successive queries.

3. Utilize PK Chunking with the Bulk API.

4. Use the Bulk API in parallel mode.

The correct answer is: Utilize PK Chunking with the Bulk API.

Utilizing PK Chunking with the Bulk API is a robust strategy for migrating large volumes of data, such as 100 million records. This approach is particularly effective because it allows the data architect to break down the data extraction process into smaller, manageable chunks, which facilitates efficient processing and minimizes system strain during the migration. PK Chunking involves dividing records based on their primary key ranges, which not only helps in organizing the data extraction but also enables parallel processing. This means that multiple requests can be sent simultaneously to the Bulk API, thereby enhancing throughput and reducing the overall time required for the extraction process. Given the sheer volume of data, this method significantly optimizes the migration while preserving the integrity and consistency of the records. Furthermore, using PK Chunking with the Bulk API is specifically designed for handling large datasets in a scalable manner, making it well-suited for the demands of data migration to an enterprise data warehouse. In practice, this strategy helps ensure that the migration is efficient and that it handles possible interruptions or errors gracefully. In contrast, the other strategies, while they may be viable under different circumstances, do not provide the same level of efficiency and scalability required for such a massive data migration task. For example, installing a third-party AppExchange tool may