Google Sample Question 4 of 27

You are preparing an organization-wide dataset. You need to preprocess customer data stored in a restricted bucket in Cloud Storage. The data will be used to create consumer analyses. You need to comply with data privacy requirements. What should you do?

Source: Google Cloud OFFICIAL

Official sample question published by Google Cloud. WiseOwlLearns is not affiliated with Google LLC.

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A Use Dataflow and Cloud KMS to encrypt sensitive fields and write the encrypted data in BigQuery. Share the encryption key by following the principle of least privilege.
B Use the Cloud Data Loss Prevention API and Dataflow to detect and remove sensitive fields from the data in Cloud Storage. Write the filtered data in BigQuery.
C Use Dataflow and the Cloud Data Loss Prevention API to mask sensitive data. Write the processed data in BigQuery. ✓ Correct
D Use customer-managed encryption keys (CMEK) to directly encrypt the data in Cloud Storage. Use federated queries from BigQuery. Share the encryption key by following the principle of least privilege.
🦉 Explanation by WiseOwl Tutor™ — not endorsed by Google

A is not correct because it is not a scalable approach for an organization-wide dataset. B is not correct because while it is scalable, it is suboptimal as you are losing data that might be used to enrich your analyses. C is correct because it ensures compliance with data privacy requirements while minimizing the loss of information. D is not correct because it is not a scalable approach for an organization-wide dataset.

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