Explanation:
The correct answer is D because the Nearline storage class is cost-effective for data accessed approximately once a month, fitting the access pattern described. Transitioning data older than 5 years to Coldline storage via an Object Lifecycle Management policy is ideal for archival purposes, complying with the requirement to keep data for an additional 5 years. Options A and B are incorrect as Multi-Regional storage is not suited for infrequently accessed data. Option C is incorrect because deleting data older than 5 years would violate the compliance requirement to archive it.
Your company aims to cut costs on infrequently accessed data by migrating it to the cloud. This data, accessed about once a month for updating historical charts, also requires archiving for compliance purposes—specifically, data older than 5 years must be kept for another 5 years. What is the best strategy for storing and managing this data?
A
Store in Google Cloud Storage using a Multi-Regional bucket and apply an Object Lifecycle Management policy to delete data older than 5 years.
B
Store in Google Cloud Storage using a Multi-Regional bucket and apply an Object Lifecycle Management policy to transition data older than 5 years to Coldline storage.
C
Store in Google Cloud Storage using a Nearline bucket and apply an Object Lifecycle Management policy to delete data older than 5 years.
D
Store in Google Cloud Storage using a Nearline bucket and apply an Object Lifecycle Management policy to transition data older than 5 years to Coldline storage.
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