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PROFESSIONAL-CLOUD-SECURITY-ENGINEER · Question #354
Your organization is using AI to improve products through innovation. The developers want to use Gemini in Vertex AI on a project. You need to provide a secure Google Cloud environment to prevent…
The correct answer is A. Set up VPC Service Controls perimeters around the Vertex AI project. Enable Data Loss. VPC Service Controls create a service perimeter around Vertex AI/Gemini to prevent data exfiltration, and the DLP API inspects inputs/outputs for sensitive content so leakage can be
Submitted by yousef_jo· Apr 18, 2026Ensuring data protection
Question
Your organization is using AI to improve products through innovation. The developers want to use Gemini in Vertex AI on a project. You need to provide a secure Google Cloud environment to prevent and detect information leakages. What should you do?
Options
- ASet up VPC Service Controls perimeters around the Vertex AI project. Enable Data Loss
- BGrant the developers and AI engineers the Vertex AI User role. Monitor the audit trails with Cloud
- CDeploy Model Armor to protect the Vertex AI endpoint. Review Security Command Center findings
- DImplement a firewall rule that allows all traffic to and from the Vertex AI API endpoint.
How the community answered
(38 responses)- A79% (30)
- B5% (2)
- C3% (1)
- D13% (5)
Explanation
VPC Service Controls create a service perimeter around Vertex AI/Gemini to prevent data exfiltration, and the DLP API inspects inputs/outputs for sensitive content so leakage can be
Topics
#VPC Service Controls#Data Loss Prevention (DLP)#Data Exfiltration Prevention#Vertex AI Security
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