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

The action fails because a constraints/iam.allowedPolicyMemberDomains organization policy is in place and only members from the flowlogistic.com organization are allowed. The inheritFromParent: false property on the “Apps” folder means that it does not inherit the organization policy from the organization node. Therefore, only the policy set at the folder level applies, which allows only members from the flowlogistic.com organization. As a result, the attempt to grant access to the user testuser@terramearth.com fails because this user is not a member of the flowlogistic.com organization.

To ensure that PII data is separated from non-PII data, using Cloud Pub/Sub and Cloud Functions to trigger a scan by the Data Loss Prevention (DLP) API is an effective approach. This method allows for automated detection and handling of PII.

Steps:

Set Up Cloud Pub/Sub: Configure a Cloud Pub/Sub topic to receive notifications whenever a file is uploaded to the shared Cloud Storage bucket.

Deploy Cloud Functions: Create a Cloud Function that is triggered by the Pub/Sub topic. This function will invoke the DLP API to scan the uploaded file for PII.

Move Detected PII Files: If the scan detects PII, the Cloud Function will move the file to a secure Cloud Storage bucket accessible only by the administrator.

Set Permissions: Ensure that appropriate permissions are set on the Cloud Storage buckets to restrict access to files containing PII.

References:

Google Cloud: Data Loss Prevention

Cloud Functions documentation

Objective: Store and retrieve sensitive configuration data for an application running on Compute Engine.

Solution: Use Secret Manager to securely store and manage access to sensitive configuration data.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the Secret Manager section.

Step 3: Create a new secret and add the sensitive configuration data.

Step 4: Set appropriate IAM policies to control access to the secret.

Step 5: Update the application to retrieve the secret from Secret Manager using the appropriate client libraries or APIs.

Secret Manager provides a secure and centralized way to manage sensitive information, with fine-grained access control and audit logging capabilities.

References:

Secret Manager Documentation

Storing and Accessing Secrets

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.​

References:

Assured Workloads Overview

Access Approval Documentation

Cloud Audit Logs Overview

Access Transparency Overview

To ensure compliance with the Payment Card Industry Data Security Standard (PCI DSS) at the infrastructure-as-a-service (IaaS) level within Google Cloud, it's essential to have continuous monitoring and assessment tools that can detect deviations from compliance requirements.​

Option A: Creating data profiles and configuring Data Discovery jobs in Google Cloud Sensitive Data Protection focuses on identifying and analyzing sensitive data but does not directly address infrastructure compliance monitoring.​

Option B: Downloading the latest PCI DSS report from the Compliance Reports Manager provides a static compliance report but does not offer real-time detection of deviations within your specific environment.​

Option C: Utilizing Assured Workloads helps in creating environments that meet specific compliance requirements, but migrating existing projects into such folders does not actively detect deviations; it primarily ensures that new workloads comply with predefined policies.​

Option D: Activating Security Command Center (SCC) Premium and leveraging its Compliance Monitoring capabilities allows for continuous assessment of your Google Cloud environment against PCI DSS requirements. SCC can identify misconfigurations, vulnerabilities, and compliance violations in real-time, providing actionable insights to address any issues promptly.​

Therefore, Option D is the most effective approach to detect deviations at the IaaS level in preparation for a PCI DSS audit.​

References:

Security Command Center Overview

Security Command Center Compliance Monitoring