Google Updated Professional-Cloud-Security-Engineer Exam Questions and Answers by osman

For scenarios involving multi-party collaboration or highly sensitive data where even the "Workload Operator" should not see the data, Confidential Space is the specific Google Cloud solution. It builds on Confidential Computing but adds a software framework for "Trustless" data processing.

According to Google Cloud Documentation (Confidential Space Overview):

"Confidential Space provides a secure environment for multiple parties to share sensitive data without any party (including the cloud provider or the project administrator) being able to see the data or the code being executed. It uses attestations to verify the integrity of the workload and Workload Identity Federation to release encryption keys or access only to verified, authorized workloads."

Key components of the solution:

Separation of Duties: Confidential Space explicitly defines roles for the Data Collaborator (owns data), Workload Author (writes code), and Workload Operator (runs infrastructure). The operator can manage the VM but cannot access the memory or the data.

Attestation: The system uses hardware-rooted attestation to ensure that the code running in the environment is exactly what was approved.

Output Protection: The processed results can be written to a bucket where only the authorized "Data Scientist" (Data Collaborator role) can retrieve them.

Why other options are incorrect:

A, C, and D are incorrect: While they use Confidential VMs (which encrypt data in RAM), they do not inherently provide the attestation-based trust framework or the rigorous separation of duties required to prevent a VM administrator (operator) from potentially accessing the data via standard VM management tools or during the ingestion phase. Confidential Space is the only one that mandates a signed "attestation" before granting access to data.

This approach allows you to expose the web interface securely by using Identity-Aware Proxy (IAP), which provides authentication and authorization with Google credentials. The HTTP Load Balancer can distribute traffic to the VMs in the managed group, and the VPC firewall rule ensures that access is allowed from the IAP network range.

Physical Token for MFA: Implement multi-factor authentication (MFA) using physical tokens (such as security keys) for super admin accounts. This adds an extra layer of security to the highest privilege accounts.

Non-Privileged Identities: Provide super admins with separate non-privileged accounts for daily activities. This practice minimizes the risk associated with using highly privileged accounts for routine tasks.

Account Management: Ensure that super admin accounts are only used for tasks requiring elevated privileges, reducing exposure to potential security threats. These measures enhance the security of super admin accounts, protecting your Google Cloud organization from unauthorized access. References:

Google Cloud - Best Practices for Securing Cloud Identity

Google Cloud - Using Security Keys

The most efficient and recommended way to achieve real-time/near real-time ingestion of logs (including Google Workspace Audit Logs, which feed into Cloud Logging) to a third-party system is by using a Cloud Logging sink to a Pub/Sub topic.

Cloud Logging Sink: Creates a stream of logs filtered by type (e.g., authentication events).

Pub/Sub Topic: A messaging service that acts as a reliable, real-time message queue.

SIEM Subscription: The SIEM system can subscribe directly to the Pub/Sub topic, receiving log events as soon as they are published, meeting the real-time requirement.

Extracts:

"Cloud Logging sinks let you route logs to destinations like Cloud Storage, BigQuery, or Pub/Sub... Routing logs to Pub/Sub enables real-time streaming of log data for consumption by external services or applications, such as a third-party SIEM." (Source 7.1)

Option B (polling) and Option D (Cloud Storage bucket) are batch-oriented methods, which do not meet the real-time/near real-time requirement.