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Answer: Use dynamic retention policies based on data type and access frequency, and archive infrequently accessed data.
Dynamic retention policies based on data type and access frequency allow for efficient storage management and compliance with data governance policies. Archiving infrequently accessed data ensures that historical data is available for analysis without occupying active storage.
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Describe how you would configure batch retention in a Delta Lake to optimize storage usage and comply with data governance policies. Include considerations for data archiving and deletion.
A
Set a fixed retention period for all data and delete data immediately after the period expires.
B
Use dynamic retention policies based on data type and access frequency, and archive infrequently accessed data.
C
Retain all data indefinitely to avoid data loss and manually delete data when required.
D
Delete all data after processing without any retention policy to save storage space.
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