Google Professional Cloud Security Engineer Exam Questions

To enhance the security of your machine learning (ML) model supply chain within a serverless architecture, it's crucial to implement measures that protect both the development and deployment pipelines.

Option A: While limiting external dependencies and rotating encryption keys are good security practices, they do not directly address the risks associated with the ML model supply chain.

Option B: Implementing container image vulnerability scanning during development and pre-deployment helps identify and mitigate known vulnerabilities in your container images. Enforcing Binary Authorization ensures that only trusted and verified images are deployed in your environment. This combination directly strengthens the security of the ML model supply chain by validating the integrity of container images before deployment.

Option C: Sanitizing training data and applying role-based access controls are important security practices but do not specifically safeguard the deployment pipeline against compromised container images.

Option D: While strict firewall rules and intrusion detection systems enhance network security, they do not specifically address vulnerabilities within the container images or the deployment process.

Therefore, Option B is the most effective approach, as it directly addresses the security of the development and deployment pipeline by ensuring that only vetted and secure container images are used in your environment.

Container Scanning Overview

Binary Authorization Overview

With Google Cloud Directory Sync (GCDS), you can synchronize the data in your Google Account with your Microsoft Active Directory or LDAP server. GCDS doesn't migrate any content (such as email messages, calendar events, or files) to your Google Account. You use GCDS to synchronize your Google users, groups, and shared contacts to match the information in your LDAP server.

https://support.google.com/a/answer/106368?hl=en

Security Command Center (SCC) in Google Cloud provides several features to help organizations detect and respond to security threats and misconfigurations.

Event Threat Detection: This feature continuously monitors and analyzes system logs to detect potential threats such as crypto mining. It uses machine learning and threat intelligence to identify suspicious activities and generate alerts.

Security Health Analytics: This feature helps identify common misconfigurations and compliance violations that could impact security. It provides visibility into security posture and helps remediate issues related to misconfigurations in your Google Cloud environment.

By using both Event Threat Detection and Security Health Analytics, you can effectively monitor for crypto mining activities and detect common misconfigurations that could compromise security.

Security Command Center Documentation

Event Threat Detection

Security Health Analytics

There is mention about simulating in Web Security Scanner. 'Web Security Scanner cross-site scripting (XSS) injection testing *simulates* an injection attack by inserting a benign test string into user-editable fields and then performing various user actions.' https://cloud.google.com/security-command-center/docs/how-to-remediate-web-security-scanner-findings#xss

To ensure that Vertex AI Workbench Instances are automatically kept up-to-date and that users cannot alter operating system settings, implementing specific organization policies is essential.

Option A: Enabling VM Manager and adding Compute Engine instances assists in managing and monitoring VM instances but does not enforce automatic updates or restrict user modifications to the operating system.

Option B: Enforcing the disableRootAccess organization policy prevents users from gaining root access, thereby restricting unauthorized changes to the operating system. Additionally, the requireAutoUpgradeSchedule policy ensures that instances are automatically updated according to a defined schedule. Together, these policies maintain system integrity and compliance with update requirements.

Option C: Assigning AI Notebooks Runner and AI Notebooks Viewer roles controls user permissions related to running and viewing notebooks but does not directly influence operating system settings or update mechanisms.

Option D: Implementing firewall rules to prevent SSH access limits direct access to instances but does not ensure automatic updates or prevent alterations through other means.

Therefore, Option B is the most appropriate action, as it directly addresses both the enforcement of automatic updates and the prevention of unauthorized operating system modifications.

Organization Policy Constraints

VM Manager Overview