Topic 1 Question 259
Your team maintains 1PB of sensitive data within BigOuery that contains personally identifiable information (PII). You need to provide access to this dataset to another team within your organization for analysis purposes. You must share the BigQuery dataset with the other team while protecting the PII. What should you do?
Utilize BigQuery's row-level access policies to mask PII columns based on the other team's user identities.
Export the BigQuery dataset to Cloud Storage. Create a VPC Service Control perimeter and allow only their team's project access to the bucket.
Implement data pseudonymization techniques to replace the PII fields with non-identifiable values. Grant the other team access to the pseudonymized dataset.
Create a filtered copy of the dataset and replace the sensitive data with hash values in a separate project. Grant the other team access to this new project.
ユーザの投票
コメント(8)
- 正解だと思う選択肢: C
I think it's C.
👍 2yokoyan2024/09/05 - 正解だと思う選択肢: A
Sorry: A: I disagree with answer C. Row-level security allows you to filter data and enable access to specific rows in a table, based on eligible user conditions. Row-level security allows a data owner or administrator to implement policies, such as “Team Users.” https://cloud.google.com/bigquery/docs/row-level-security-intro?hl=en-US
👍 2jmaquino2024/11/11 - 正解だと思う選択肢: A👍 2jmaquino2024/11/11
シャッフルモード