You are responsible for protecting highly sensitive data in BigQuery.

Google Professional-Cloud-Security-Engineer Question Answer

You are responsible for protecting highly sensitive data in BigQuery. Your operations teams need access to this data, but given privacy regulations, you want to ensure that they cannot read the sensitive fields such as email addresses and first names. These specific sensitive fields should only be available on a need-to-know basis to the HR team. What should you do?

Perform data masking with the DLP API and store that data in BigQuery for later use.

Perform data redaction with the DLP API and store that data in BigQuery for later use.

Perform data inspection with the DLP API and store that data in BigQuery for later use.

Perform tokenization for Pseudonymization with the DLP API and store that data in BigQuery for later use.

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Product: Professional-Cloud-Security-Engineer
Update on: Nov 3, 2025
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You are responsible for protecting highly sensitive data in BigQuery.

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