Professional-Cloud-Security-Engineer Exam Dumps - Google Cloud Certified - Professional Cloud Security Engineer

To ensure compliance with strict regulatory requirements for storing and processing sensitive patient data in the cloud, the following measures should be implemented:​

Assured Workloads: Deploying an Assured Workloads environment in an approved region ensures that data residency requirements are met by restricting data storage and processing to specific geographic locations. Assured Workloads provide predefined controls and configurations tailored to meet regulatory compliance needs.​

Access Approval: Configuring Access Approval ensures that certain administrative actions on patient data require explicit approval from designated compliance officers. This adds a layer of control over sensitive operations, aligning with the need for explicit approvals.​

Cloud Audit Logs and Access Transparency: Enabling Cloud Audit Logs provides a detailed record of actions taken on your data, supporting the requirement for auditability. Access Transparency logs offer visibility into Google's administrative access to your content, enhancing transparency and compliance.​

Therefore, Option C is the most appropriate choice, as it comprehensively addresses data residency, administrative control, and auditability requirements.​

To access a user's Google Drive on their behalf without relying on the user's credentials and following Google-recommended practices, you should use a service account with domain-wide delegation.

Create a Service Account:

Go to the Cloud Console, navigate to IAM & Admin > Service Accounts.

Click "Create Service Account" and provide necessary details.

Grant Domain-Wide Delegation:

Edit the service account to enable "G Suite Domain-wide Delegation".

Download the JSON key file.

Configure API Access in G Suite:

Go to the Google Admin Console.

Navigate to Security > API Controls > Domain-wide Delegation.

Add a new API client and use the client ID from the service account.

Authorize the necessary API scopes (e.g., https://www.googleapis.com/auth/drive).

Implement in Application:

Use the Google API Client Library for the desired language.

Load the service account credentials and perform user impersonation to access Google Drive.

Domain-wide Delegation of Authority

Using OAuth 2.0 for Server to Server Applications

To ensure that data is encrypted while in use by the virtual machines (VMs) and enforce this policy across your organization, you should use Confidential VM instances. Here are the steps:

Enable Confidential VM:

Ensure that Confidential VMs are available in your selected regions and enabled for your project.

Set Organization Policy:

Implement an organization policy to enforce the use of Confidential VM instances for all VMs across your organization.

Use the Google Cloud Console or the gcloud command-line tool to set this policy. Example command:

gcloud resource-manager org-policies set-policy my_policy.yaml

Example my_policy.yaml:

name: organizations/1234567890/policies/compute.requireConfidentialCompute spec: rules: - enforce: true

Verify and Monitor:

Ensure that all newly created VMs across your organization are Confidential VMs.

Regularly monitor compliance through the Google Cloud Console and set up alerts if non-compliant VMs are created.

Benefits:

Data Encryption in Use: Confidential VMs ensure that data is encrypted not just at rest and in transit but also while in use.

Policy Enforcement: Organization policies provide a way to enforce security configurations across all projects under your organization.

References

Confidential Computing Documentation

Creating and Managing Organization Policies

To comply with the regulation to keep instance logging data within Europe, specifically in the Netherlands (region europe-west4), you need to configure Cloud Logging to ensure that all logs are stored in a specified region. Here are the steps to achieve this:

Create a Cloud Storage Bucket:

Go to the Google Cloud Console.

Navigate to Cloud Storage and create a new bucket.

Set the location type to "Region" and select "europe-west4" as the region.

Configure Log Sink:

Go to the Logging section in the Google Cloud Console.

Create a new log sink and configure it to export logs to the Cloud Storage bucket you just created.

Ensure the sink includes all logs you want to keep within europe-west4.

Verify Configuration:

Ensure that the logs are being exported to the Cloud Storage bucket by checking the contents of the bucket.

This setup ensures that all your logging data remains within the specified region, adhering to compliance requirements.

References

Creating and Managing Log Sinks

Cloud Storage Locations

To meet the requirements for exporting and auditing security logs in near real-time for login activity events and API calls:

Organization-Level Log Sink with Pub/Sub: Create a log sink at the organization level to ensure logs from all projects are captured. Use the includeChildren parameter to include logs from all child resources (projects). Set the destination to a Pub/Sub topic to facilitate near real-time log export to an external SIEM.

Enable Data Access Audit Logs: Enable Data Access audit logs at the organization level to capture and export detailed information about API calls that modify configurations of Google Cloud resources across all projects.

These steps ensure comprehensive logging and real-time export capabilities, which are crucial for security auditing and monitoring.

References

Audit Logs Overview

Exporting with Sinks

https://cloud.google.com/logging/docs/export/aggregated_sinks#supported-destinations

You can use aggregated sinks to route logs within or between the same organizations and folders to the following destinations: - Another Cloud Logging bucket: Log entries held in Cloud Logging log buckets.

The best way to describe security responsibilities when using a Google Cloud service, especially a managed one like a managed AI service, is to invoke the Shared Responsibility Model.

This model clarifies that Google secures the underlying infrastructure (the hardware, data centers, and the service platform itself), while the customer (your organization) retains responsibility for security in the cloud, specifically: data, access controls (IAM), and operational monitoring.

Extracts:

"This division of duties is defined by the Shared Responsibility Model, a framework that clarifies the security responsibilities of both the cloud provider and the customer." (Source 3.2)

"While cloud providers secure the infrastructure, customers must take active steps to protect their applications, data, and access controls." (Source 3.2)

"The following areas are customer responsibilities as a user of any public cloud: Configuring Identity and Access Management (IAM) to ensure that the contents of your organization are accessed and modifiable by the appropriate personnel... Ensuring you have read all documentation to understand and follow best practices." (Source 3.5)

For Google Cloud, the customer is responsible for: "Managing user permissions and access controls using Cloud IAM... Encrypting sensitive data... Monitoring logs and security events using Cloud Audit Logs and Security Command Center." (Source 3.2)

Option C is incorrect because using PaaS/Managed Services does NOT transfer all security concerns to Google. The customer is still responsible for key areas.

Option B is the most comprehensive and correct answer as it immediately introduces the foundational concept (Shared Responsibility Model) and focuses on the most critical customer responsibilities: IAM (access controls), data procedures (upload/download), and monitoring logs (detective controls), all of which fall squarely under the customer's purview for a managed service.

The key requirements are maintaining a specific set of controls, including data residency and personnel data access controls, specifically to meet a highly regulated industry's compliance program.

Assured Workloads is the specific Google Cloud service designed to help customers meet these stringent regulatory and compliance requirements (e.g., FINRA, FedRAMP, HIPAA, etc.) by enforcing a specific control bundle.

Extracts:

"Assured Workloads helps organizations run their sensitive workloads securely and in a compliant manner... by providing continuous compliance monitoring for specific compliance programs." (Source 4.1)

"When you create an Assured Workloads folder, the platform automatically enforces compliance controls... including: Data residency and location controls... Personnel access controls... Organizational policies..." (Source 4.2)

This service creates a dedicated, compliant environment in a folder, ensuring the necessary configurations and personnel controls are applied automatically and continuously maintained, which is a more complete solution than the posture management in option B (which focuses only on configuration monitoring) or the singular organizational policy in option C.