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GCP Professional Cloud Architect Practice Question

A gaming studio is launching a new mobile game aimed at children under 13 in the United States. Gameplay events are published to a Cloud Pub/Sub topic, processed by a streaming Dataflow job, and then written to a BigQuery table that powers near-real-time leaderboards. To comply with COPPA, the studio must guarantee that no personal data such as email addresses, phone numbers, or device identifiers is ever stored in BigQuery, yet it wants to keep the existing Dataflow job and avoid adding complex new infrastructure. Which change best satisfies the requirement with the least operational overhead while maintaining near-real-time analytics?

  • Place the ingestion project inside a VPC Service Controls perimeter that restricts access to the company's corporate network.

  • Keep the pipeline unchanged but apply BigQuery column-level data masking policies so that analysts cannot view sensitive fields.

  • Encrypt the BigQuery dataset with customer-managed encryption keys (CMEK) and restrict dataset access to only the analytics service accounts.

  • Deploy Google's Cloud DLP de-identification Dataflow template to read from the current Pub/Sub topic, use the DLP API to redact or tokenise personal identifiers, publish the sanitized events to a new Pub/Sub topic, and repoint the existing Dataflow analytics job to that sanitized topic.

GCP Professional Cloud Architect
Designing for security and compliance
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