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Answer: Regardless of the clone type, changes affect only the clones and leave the source table untouched.
Whether you opt for deep or shallow cloning in Databricks, any data modifications applied to the cloned table are tracked and stored separately. This ensures that the source table remains unaffected by changes made to its clones. For more details, refer to the official documentation on clone types at [https://docs.databricks.com/delta/clone.html#clone-types-1](https://docs.databricks.com/delta/clone.html#clone-types-1).
Author: LeetQuiz Editorial Team
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When cloning tables in Databricks, which statement accurately describes the impact of changes made to deep or shallow clones on the source table?
A
Modifications to either deep or shallow clones influence the source table unless the CASCADE option is set to False.
B
Alterations to deep clones are confined to the clones themselves, whereas changes to shallow clones impact the source table.
C
Changes to shallow clones remain within the clones, but modifications to deep clones reach back to the source table.
D
Regardless of the clone type, changes affect only the clones and leave the source table untouched.
E
Both deep and shallow clone modifications propagate to the source table.
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