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GCP Professional Cloud Security Engineer Practice Question

Your security team must automatically locate credit card numbers embedded in several years of transaction logs stored in both Cloud Storage buckets and BigQuery datasets. After discovery, they need a scheduled process that generates a compliance report and writes a de-identified version of the data, with card numbers hashed, into a separate analytics project. They want to minimize custom code and operational overhead. Which Google Cloud capability best satisfies these requirements?

  • Custom data processing pipelines on Confidential VMs using Cloud Dataflow

  • Sensitive Data Protection inspection jobs with de-identification templates

  • CMEK-encrypted buckets and datasets managed through Cloud KMS

  • BigQuery row-level security policies combined with Data Catalog policy tags

GCP Professional Cloud Security Engineer
Ensuring data protection
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