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Google Professional Cloud Security Engineer: How to Keep Vertex AI Workbench Instances Updated and Secure?

Learn the best practices for ensuring that your Vertex AI Workbench Instances are automatically updated and users can’t accidentally change OS settings. Follow these steps to maintain security and stability.

Table of Contents

Question

Your organization is using Vertex AI Workbench Instances. You must ensure that newly deployed Instances are automatically kept up-to-date and that users cannot accidentally alter settings in the operating system. What should you do?

A. Enforce the disableRootAccesa and requireAutoUpgradeSchedule organization policies for newly deployed Instances.
B. Enable the VM Manager and ensure the corresponding Google Compute Engine instances are added.
C. Implement a firewall rule that prevents Secure Shell access to the corresponding Google Compute Engine instances by using tags.
D. Assign the AI Notebooks Runner and AI Notebooks Viewer roles to the users of the AI Workbench Instances.

Answer

A. Enforce the disableRootAccesa and requireAutoUpgradeSchedule organization policies for newly deployed Instances.

Explanation

To ensure that newly deployed Vertex AI Workbench Instances are automatically kept up-to-date and users cannot accidentally alter settings in the operating system, you should enforce the disableRootAccess and requireAutoUpgradeSchedule organization policies for the newly deployed Instances.

The disableRootAccess policy prevents users from accessing the root account on the corresponding Compute Engine instances, which helps maintain the integrity of the operating system and prevents accidental changes to critical settings.

The requireAutoUpgradeSchedule policy ensures that the Instances are automatically updated with the latest OS patches and security fixes on a regular schedule. This keeps the Instances up-to-date without manual intervention.

Together, these organization policies provide an effective way to automate OS updates and restrict access to sensitive settings on your Vertex AI Workbench Instances, enhancing security and stability. Applying these policies is a best practice for maintaining a secure and reliable environment for your AI workloads.

The other options, while related to security, do not directly address the specific requirements of automatically updating the Instances and preventing accidental OS setting changes by users. VM Manager, firewall rules restricting SSH access, and IAM roles are complementary security measures but do not fulfill the stated objectives on their own.

Google Professional Cloud Security Engineer certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Google Professional Cloud Security Engineer exam and earn Google Professional Cloud Security Engineer certification.