GCP Professional Cloud Security Engineer Practice Question

Your data science team must train a deep-learning model on highly sensitive genomic data. For compliance reasons, they elect to build a custom training workflow on GPU-equipped Compute Engine instances instead of using Vertex AI's managed training service. Which control remains entirely the customer's responsibility in this IaaS approach but would have been handled by Google if Vertex AI were used?

  • Applying security patches and hardening the guest operating system on the training VMs

  • Configuring Customer-Managed Encryption Keys (CMEK) for the Cloud Storage buckets that hold training data

  • Granting least-privilege IAM roles to data scientists for access to the training pipeline

  • Creating a VPC Service Controls perimeter around the AI service endpoints to prevent data exfiltration

GCP Professional Cloud Security Engineer
Ensuring data protection
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot