Professional Cloud Security EngineerDemo

By Google · Question Mode

QuestionQ24

Ensuring data protection

Your organization uses AI to improve products through innovation. The developers want to use Gemini in Vertex AI for a project. You must provide a secure Google Cloud environment that prevents and detects information leakages. What should you do?

  • A Set up VPC Service Controls perimeters around the Vertex AI project. Enable Data Loss Prevention API for content inspection.
  • B Grant the developers and AI engineers the Vertex AI User role. Monitor the audit trails with Cloud Logging.
  • C Deploy Model Armor to protect the Vertex AI endpoint. Review Security Command Center findings to detect information leakages.
  • D Implement a firewall rule that allows all traffic to and from the Vertex AI API endpoint.
Explanation

VPC Service Controls service perimeters protect Vertex AI by restricting access across a defined boundary, which mitigates data-exfiltration risks. Sensitive Data Protection’s DLP API can inspect text content and identify sensitive-data findings, enabling detection of information that should not be exposed. VPC Service Controls supported products and Inspecting text for sensitive data describe these capabilities.

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