Topic 1 Question 94

Professional Cloud Security Engineer

Topic 1 Question 94
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 Human Resources team. What should you do?
- Perform data masking with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
- Perform data redaction with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
- Perform data inspection with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
- Perform tokenization for Pseudonymization with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
解説
Reference: https://towardsdatascience.com/bigquery-pii-and-cloud-data-loss-prevention-dlp-take-it-to-the-next-level-with-data-catalog-c47c31bcf677

ユーザの投票
コメント(7)
- 正解だと思う選択肢: D
  D is the answer as tokenization can support re-identification for use by HR.
  
  https://cloud.google.com/dlp/docs/pseudonymization
  
  👍 4
  zellck2022/09/29
- 正解だと思う選択肢: A
  A https://cloud.google.com/bigquery/docs/column-data-masking-intro
  
  👍 3
  Random_Mane2022/09/20
- 正解だと思う選択肢: D
  D. Perform tokenization for Pseudonymization with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
  
  👍 3
  AwesomeGCP2022/10/07
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