PCSE Ensuring Data Protection Practice Question
A security engineer needs to enforce column-level masking on a BigQuery table such that: (1) users with role 'data_analyst' see masked values, (2) users with role 'data_scientist' see plaintext values, and (3) the masking is applied automatically without modifying the underlying table. Which three components must they configure? (Choose 3)
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Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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IAM roles (e.g., roles/bigquery.maskedReader)
BigQuery column-level security uses: a Data Catalog taxonomy to define policy tags, a BigQuery Data Policy that specifies masking rules (e.g., hash, nullify) associated with the policy tag, and IAM roles (e.g., BigQuery Masked Reader) to grant access to masked data. The taxonomy contains the policy tags, the data policy defines the masking rule, and IAM controls who sees masked vs. plaintext.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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