QuestionQ58

Data Management

You are storing data in Cloud Storage for a machine learning project. The data is accessed frequently during the model-training phase, accessed minimally after 30 days, and is unlikely to be accessed after 90 days. You need to select the appropriate storage class for each stage of the project to minimize cost. What should you do?

Explanation

Standard storage is appropriate for frequently accessed model-training data. Nearline storage is designed for infrequently accessed data and has a 30-day minimum storage duration, while Coldline storage suits data accessed at most once per quarter and has a 90-day minimum storage duration. Archive storage has a 365-day minimum duration, so transitioning to it at 30 or 90 days would not minimize cost for this lifecycle.

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