Google Professional Data Engineer
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Your team is developing a data lake platform on Google Cloud, storing raw data in Cloud Storage. With daily data ingestion around 25 GB, concerns about rising storage costs for old data have emerged. The business requires the flexibility to delete old data at any time, has no specified access pattern for old data, needs instant availability upon access, and wants no charges for data retrieval. How would you optimize for cost in storing old data in Cloud Storage under these conditions?
A
Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearline, 90 days to coldline, and 365 days to archive storage class. Delete old data as needed.
B
Create the bucket with the Autoclass storage class feature.
C
Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to coldline, 90 days to nearline, and 365 days to archive storage class. Delete old data as needed.
D
Create an Object Lifecycle Management policy to modify the storage class for data older than 30 days to nearline, 45 days to coldline, and 60 days to archive storage class. Delete old data as needed.