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TerramEarth manufactures heavy equipment for the mining and agricultural industries. They have vehicles that collect data and this data is stored both on the vehicle and, for connected vehicles, transmitted to their data center. To comply with European GDPR regulation, TerramEarth needs to delete data generated from its European customers after 36 months when it contains personal data. This data will be stored in both Cloud Storage and BigQuery in the new architecture. What should you do?
TerramEarth manufactures heavy equipment for the mining and agricultural industries. They have vehicles that collect data and this data is stored both on the vehicle and, for connected vehicles, transmitted to their data center. To comply with European GDPR regulation, TerramEarth needs to delete data generated from its European customers after 36 months when it contains personal data. This data will be stored in both Cloud Storage and BigQuery in the new architecture. What should you do?
Explanation:
To comply with European GDPR regulations, TerramEarth needs to delete data generated from its European customers after 36 months. The correct approach for this is to use a BigQuery time-partitioned table and set the partition expiration period to 36 months, ensuring that data older than 36 months is deleted automatically. For Cloud Storage, enabling lifecycle management with a DELETE action and an Age condition of 36 months will ensure that data older than 36 months is removed. Therefore, option C is the correct answer.