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Answer: Implement a Cloud Storage bucket with Autoclass feature to automatically adjust storage classes based on access patterns.
**B** is correct because Autoclass automatically optimizes costs by adjusting storage classes based on actual access patterns, ensuring efficiency without manual intervention or user impact. - **A** is less optimal as it assumes inactivity after 30 days, which may not align with random access patterns. - **C** introduces unnecessary manual effort and complexity. - **D** is unclear due to the undefined 'live' status, potentially leading to inefficiencies.
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You're integrating Cloud Storage into your data lake solution to store objects from external systems, each received once with random access patterns. How can you minimize storage and access costs without impacting user and application experience?
A
Set up a Cloud Storage bucket with Object Lifecycle Management to move objects from Standard to Coldline storage after 30 days of inactivity.
B
Implement a Cloud Storage bucket with Autoclass feature to automatically adjust storage classes based on access patterns.
C
Use two Cloud Storage buckets: one with Standard storage for new objects and another with Coldline for objects older than 30 days, migrating them manually.
D
Configure a Cloud Storage bucket to transition objects to Coldline storage if they're deemed not 'live', though 'live' is undefined.
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