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PROFESSIONAL-DATA-ENGINEER · Question #388
PROFESSIONAL-DATA-ENGINEER Question #388: Real Exam Question with Answer & Explanation
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Submitted by hassan_iq· Mar 30, 2026Designing data processing systems
Question
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?
Options
- AUse Dataflow and the Cloud Data Loss Prevention API to mask sensitive data. Write the processed data in BigQuery.
- BUse customer-managed encryption keys (CMEK) to directly encrypt the data in Cloud Storage. Use federated queries from BigQuery. Share the encryption key
- CUse 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.
- DUse 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
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Topics
#Data Privacy#Data Masking#Cloud DLP#Dataflow