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Answer: CDF can simplify data archiving by tracking changes and allowing selective archiving of specific partitions.
CDF can simplify data archiving by tracking changes and allowing selective archiving of specific partitions. This involves enabling CDF on the Delta Lake table and modifying the data processing jobs to leverage the change data for efficient archiving. This approach ensures that only the necessary data is archived, reducing the overhead associated with data management tasks.
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Explain how CDF can be used to simplify the process of data archiving in a Delta Lake table. Describe the steps you would take to leverage CDF for efficient data archiving, including any necessary code modifications to implement this process.
A
CDF is not useful for data archiving; manual processes are required.
B
CDF can simplify data archiving by tracking changes and allowing selective archiving of specific partitions.
C
Data archiving requires a complete reprocessing of the dataset, regardless of CDF.
D
CDF only handles insert operations; archiving must be managed separately.
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