Question-24: GDPR stands for the General Data Protection Regulation, and it is a piece of legislation that mandates companies preserve the personal data and privacy of EU people for any transactions that take place inside EU member states. Accuracy. Storage constraint. Accountability, together with the values of integrity and confidentiality (security), are essential components of GDPR. And corporations risk losing a lot of money if they don't comply. Please see the TerramEarth case study for more information about this subject. In order to be in compliance with the European rule known as GDPR, TerramEarth is obligated to destroy data that was created from its European clients after a period of 36 months if the data in question included personal information. Within the framework of the new architecture, these records will be kept in Cloud Storage as well as BigQuery. What action should you take?
A. The European data should be stored in a BigQuery table, and the retention period for that table should be set to 36 months. Utilize gsutil to enable lifecycle management for cloud storage by performing a DELETE operation with an Age condition of at least 36 months.
B. The European data should be stored in a BigQuery database, and the retention term for that table should be set to 36 months. When dealing with cloud storage, the gsutil programme should be used to generate a SetStorageClass to NONE action whenever the age condition is set to 36 months.
C. Create a time-partitioned table in BigQuery for the European data, and set the expiration period for the partition to be three years and six months. Utilize gsutil to enable lifecycle management for cloud storage by performing a DELETE operation with an Age condition of at least 36 months.
D. Create a time-partitioned table in BigQuery for the European data, and define the expiry term for the partition to be three years and six months. To implement a SetStorageClass to NONE action for Cloud Storage, you can use gsutil. The Age condition should be set to 36 months.
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: 3 Explanation: SetStorageClass could not be set to NONE. After data expired, data should be deleted not table.Enable a bucket lifecycle management rule to delete objects older than 36 months. Use partitioned tables in BigQuery and set the partition expiration period to 36 months. is the right answer. When you create a table partitioned by ingestion time, BigQuery automatically loads data into daily, date-based partitions that reflect the data's ingestion or arrival time. If the partitioned table has a table expiration configured, all the partitions in it are deleted according to the table expiration settings. For our specific requirement, we could set the partition expiration to 36 months so that partitions older than 36 months (and the data within) are automatically deleted.