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You work for a company that manages highly sensitive user data. You are designing the Google Kubernetes Engine (GKE) infrastructure for your company, including several applications that will be deployed in development and production environments. Your design must protect data from unauthorized access from other applications while minimizing the amount of management overhead required. What should you do?
Correct Answer: B
Comprehensive and Detailed Explanation: For highly sensitive user data, you need to isolate applications while minimizing management overhead. The best practice is: One GKE cluster per environment (Development and Production) # This provides a clear separation of concerns and avoids security risks from running different environments in the same cluster. Each application in its own namespace # Namespaces provide logical isolation for different applications within the same cluster, reducing unauthorized access risks. #Why not other options? A (Single cluster for org with multiple namespaces for apps & envs)## Bad security practice because mixing production and development in the same cluster increases the risk of privilege escalation. C (Single cluster for org with namespaces per app)## Still mixes development and production in the same cluster, violating isolation requirements for sensitive data. D (One cluster per app)## High operational overhead; unnecessary complexity for small to medium-scale deployments. #Official Reference: GKE Multi-Tenancy Best Practices GKE Security Hardening