Machine learning engineers working in the gcp video
data-engineer-pro video for machine learning engineers working in the us-central1 region have approximately 200 TB of data that will be used to train machine
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Machine learning engineers working in the us-central1 region have approximately 200 TB of data that will be used to train machine learning models. To train a model, only a small subset of that data is used. Data is organized into files that will be accessed about once per month. You would like to minimize storage costs but still have reliable and highly available storage. What would you recommend for storing this data?