GCP Professional Cloud Security Engineer Practice Question

Your organization is migrating from self-managed TensorFlow training on Compute Engine VMs to Vertex AI custom training jobs. Compliance auditors ask which security controls still remain under your team's responsibility after the move, given that Vertex AI is delivered as a fully managed PaaS. Which control is the customer still accountable for?

  • Applying critical OS patches to the worker nodes that run training containers

  • Configuring IAM permissions that govern who can submit training jobs and access model artifacts

  • Maintaining hypervisor isolation between customer workloads on shared host machines

  • Encrypting training data at rest using Google-managed server-side encryption keys

GCP Professional Cloud Security Engineer
Ensuring data protection
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