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As an integral part of your data lake architecture, you plan to utilize Google Cloud Storage to store objects from various external systems. Each object will be ingested exactly once, and subsequent access to these objects will occur in a random pattern. Your goal is to reduce the costs associated with both storage and retrieval of these objects while ensuring that any cost-saving measures remain imperceptible to users and applications interacting with the data. What steps should you take to achieve this?
Explanation:
Option A is correct because enabling Autoclass on a Cloud Storage bucket automatically analyzes access patterns of objects and transitions them to the most cost-effective storage class. This eliminates the need for manual intervention or setting specific age thresholds, ensuring transparency and minimal effort from users and applications. Therefore, option A provides the required cost optimization while maintaining transparency for users and applications.