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In the context of managing large datasets with Delta Lake, you are tasked with choosing between a shallow clone and a deep clone for a project. The project involves creating a copy of a dataset for testing new data processing algorithms. The dataset is extremely large, and the testing environment has limited storage capacity. Additionally, the testing does not require the historical metadata or the exact partitioning of the original dataset. Considering these constraints, which of the following options best describes the most appropriate cloning strategy to use? (Choose one option.)
A
Shallow clone is the best choice because it is faster and does not require additional storage for metadata and partitioning information, which are not needed for the testing purposes.
B
Deep clone is the best choice because it ensures that all aspects of the original dataset, including metadata and partitioning, are preserved, which is crucial for accurate testing results.
C
The decision between shallow and deep clone should be based on the team's preference, as both methods will yield the same results for testing purposes.
D
Neither shallow nor deep clone is suitable for this scenario; a different approach should be considered to avoid any potential data loss or corruption during the cloning process.