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

Web Security Scanner is designed to scan your web applications deployed on Google Cloud for common vulnerabilities, including cross-site scripting (XSS). It can authenticate using Google accounts and can be scheduled to run scans regularly.

Steps:

Enable Web Security Scanner: In the Google Cloud Console, enable Web Security Scanner for your project.

Configure Scan: Set up the scan configuration, specifying the target URLs, authentication details (Google accounts), and scan frequency (at least once per week).

Run and Monitor Scans: Run the scans and monitor the results for vulnerabilities, addressing any issues found.

References:

Web Security Scanner documentation

Define Trusted Image Projects:

Identify the project or projects where your trusted operating system images are stored.

Ensure these images meet your organization’s security requirements and are regularly updated to mitigate vulnerabilities.

Create an Organization Policy:

Navigate to the Organization Policies page in the Google Cloud Console.

Create a policy constraint that restricts the creation of boot disks to only those images stored in your trusted image project(s).

The policy constraint to use is constraints/compute.trustedImageProjects.

Apply the Policy:

Apply this organization policy at the appropriate level (organization, folder, or project) to enforce that all new VM instances use images from the trusted repository.

This ensures consistency in the security posture across all projects within the organization.

Monitor Compliance:

Regularly monitor the compliance with this policy using audit logs and other monitoring tools.

Update the trusted images as necessary to ensure they remain secure and compliant with your security standards.

References:

Organization Policy Service

Trusted Image Projects Constraint

Objective: Provide evidence of access reviews for an upcoming audit.

Solution: Use Policy Analyzer to review and report on IAM policies.

Steps:

Step 1: Open the Google Cloud Console.

Step 2: Navigate to the Policy Analyzer tool.

Step 3: Select the project for which you need to review access policies.

Step 4: Use the tool to generate reports on IAM roles and permissions.

Step 5: Export the reports as evidence for the audit.

Policy Analyzer provides detailed insights into IAM policies, helping you to review access configurations and generate necessary reports for compliance and auditing purposes.

References:

Policy Analyzer Documentation

To manage IAM permissions efficiently for a large engineering team with different levels of access in development and production environments, follow these steps:

Create Separate Folders:

Create a folder for the development environment.

Create a folder for the production environment.

This allows you to organize projects and apply different policies and permissions to each environment.

Navigate to IAM & Admin in the GCP Console.

Select "Folders" from the left-hand menu.

Create a new folder named "Development".

Create a new folder named "Production".

Create Google Groups:

Create Google Groups for different teams within the engineering department (e.g., Development Team, Production Team).

This helps in managing permissions centrally.

Use the Google Admin Console to create groups.

Add relevant engineers to each group.

Assign Permissions at the Folder Level:

Assign appropriate IAM roles to the Google Groups at the folder level.

For example, grant Viewer role to the Development Team group for the development folder.

Grant Editor or more restrictive roles as required for the Production Team group for the production folder.

Select the development folder.

Go to the "Permissions" tab.

Click on "Add" and enter the email address of the Development Team Google Group.

Assign the "Viewer" role.

Repeat for the production folder, assigning appropriate roles to the Production Team Google Group.

By following these steps, you create a clear separation between development and production environments and manage permissions efficiently using Google Groups and folders.

References:

Google Cloud IAM Documentation

Google Cloud Resource Manager Documentation

nodeSelector is the simplest recommended form of node selection constraint. You can add the nodeSelector field to your Pod specification and specify the node labels you want the target node to have. Kubernetes only schedules the Pod onto nodes that have each of the labels you specify. => https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector Tolerations are applied to pods. Tolerations allow the scheduler to schedule pods with matching taints. Tolerations allow scheduling but don 't guarantee scheduling: the scheduler also evaluates other parameters as part of its function. => https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/

To ensure that no personally identifiable information (PII) is published in your yearly website usage analytics reports while preserving data integrity, the Cloud Data Loss Prevention (Cloud DLP) API can be utilized to identify and transform PII within your datasets.​

Option A: Encrypting PII does not remove it from the reports; it merely obscures it, which may not be sufficient for compliance or privacy requirements.​

Option B: Discovering and transforming PII ensures that sensitive information is either masked, tokenized, or otherwise obfuscated, effectively removing PII from the reports while maintaining the overall structure and utility of the data.​

Option C: Detecting and deleting PII could lead to loss of valuable data and may disrupt the integrity of the reports.​

Option D: Quarantining PII data implies isolating it, which doesn't address the need to publish reports without PII.​

Therefore, Option B is the most appropriate approach, as it leverages the Cloud DLP API to identify and transform PII, ensuring that the published reports are free from sensitive information while preserving data integrity.​

References:

Cloud DLP Overview

De-identifying Sensitive Data

To manage consumer user accounts created using the corporate domain name, you can use the transfer tool for unmanaged user accounts provided by Google Cloud Identity. Here’s how you can proceed:

Identify Unmanaged Accounts:

Use the Cloud Identity interface to identify consumer (unmanaged) accounts that exist with your corporate domain.

Initiate Transfer Process:

Use the transfer tool for unmanaged user accounts to initiate the transfer. This tool helps in converting unmanaged accounts (consumer accounts) into managed accounts.

User Notification:

Users with unmanaged accounts will receive an email notification prompting them to accept the transfer to the organization’s managed account system.

Accept Transfer:

Users need to follow the instructions in the email to accept the transfer. Once accepted, their accounts will be managed under your organization’s Cloud Identity setup.

Benefits:

Centralized Management: All user accounts under your corporate domain are managed centrally, ensuring compliance and security.

Enhanced Security: Managed accounts provide better control over security policies and access management.

References

Transfer tool for unmanaged users

Cloud Identity Documentation