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.
Ultimate access to all questions.
No comments yet.
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.