Professional-Cloud-Security-Engineer VCE Exam Download

To grant read access to a third-party disk image stored in an external Google Cloud organization so it can be deployed into a VPC Service Controls perimeter, you need to update the service perimeter to allow egress traffic from your projects to the external project.

Update the Service Perimeter:

Go to the Google Cloud Console, navigate to Security > VPC Service Controls.

Select the appropriate service perimeter that includes your image repository project.

Configure Egress Policy:

Within the perimeter settings, configure the egressTo field to allow traffic to the external project.

Set the identityType to ANY_IDENTITY to permit any principal to access the external project for this specific egress rule.

Specify External Project and Service:

In the egressFrom field, include the external Google Cloud project number as an allowed resource.

Set the serviceName to compute.googleapis.com to specifically allow access to the Compute Engine service in the external project.

This configuration permits your internal projects to read the disk image from the external project while maintaining the security boundaries established by the service perimeter.

VPC Service Controls Documentation

Configuring Service Perimeters

This question requires implementing fine-grained data access control across multiple services based on the Principle of Least Privilege.

Project/Service Access (IAM): Granting project-level group permissions with specific Cloud IAM roles (e.g., BigQuery Data Viewer) is the primary way to control who has access to which project's resources.

Data Isolation (Service-Specific): To ensure only relevant data is accessed and to protect sensitive information within the datasets, you must use the most granular control mechanism available for each service:

BigQuery: Authorized Views allow access to specific query results (subsets of data) without granting access to the underlying table.

Cloud Storage: Uniform bucket-level access simplifies and tightens security by forcing all access to be controlled by IAM, preventing accidental object-level exposure.

Cloud SQL: Database Roles are the native, most granular way to control access within the database itself (e.g., read-only access to specific tables).

Extracts (Conceptual Basis):

"The principle of least privilege dictates that users should only have the permissions necessary to perform their jobs. Granular access is enforced using a combination of IAM roles and service-native access controls." (Source 5.1)

"For BigQuery, using authorized views is the standard way to limit data exposure to users who should only see a subset of data." (Source 5.2)

Provide granular access to secrets: 2.Enforce access control to secrets using project-level identity and Access Management (IAM) bindings. Give you control over the rotation schedules for the encryption keys that wrap your secrets: 3. Use customer-managed encryption keys to encrypt secrets. Maintain environment separation: 1. Use separate Google Cloud projects to store Production and Non-Production secrets.

Objective: Synchronize security groups with email addresses from an LDAP directory to Cloud IAM.

Solution: Use Google Cloud Directory Sync (GCDS) to perform one-way synchronization based on LDAP search rules.

Steps:

Step 1: Download and install Google Cloud Directory Sync (GCDS) on a secure server.

Step 2: Configure GCDS with the LDAP server details and authentication.

Step 3: Define LDAP search rules to filter security groups based on the “user email address” attribute.

Step 4: Map LDAP security groups to Google Cloud IAM roles.

Step 5: Set up a synchronization schedule to keep the groups in sync.

Step 6: Perform a test sync to ensure that the configuration is correct.

Step 7: Activate the synchronization to keep the LDAP directory and Cloud IAM in sync.

Using GCDS for one-way synchronization ensures that the security groups in Cloud IAM are consistently updated based on the LDAP directory, maintaining alignment with the organization’s security policies.