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

"The service evaluates all changes and remote access attempts to detect runtime attacks in near-real time." : https://cloud.google.com/security-command-center/docs/concepts-container-threat-detection-overview This has nothing to do with KNOWN security Vulns in images

To minimize the attack surface of the container for an internet-facing application running on Google Kubernetes Engine (GKE), the best practice is to build small containers using small base images. This approach helps in the following ways:

Reduce Vulnerabilities: Smaller base images contain fewer packages and dependencies, which minimizes the potential vulnerabilities that an attacker could exploit.

Improved Security: Using minimal base images such as distroless or Alpine Linux ensures that only the necessary components are included, reducing the attack surface significantly.

Easier Maintenance: Small containers are easier to maintain and update, ensuring that security patches can be applied quickly without dealing with unnecessary components.

Steps to Implement:

Choose a Minimal Base Image:

Use base images like gcr.io/distroless/base or alpine.

FROM gcr.io/distroless/base COPY myapp /myapp CMD ["/myapp"]

Optimize Container Image:

Remove unnecessary tools and libraries.

Use multi-stage builds to keep the final image small.

Regularly Update Base Images:

Keep the base images up-to-date with the latest security patches.

Distroless Images

Best Practices for Building Containers

Customer-Managed Encryption Keys (CMEK):

CMEK allows you to manage encryption keys using Cloud Key Management Service (KMS). This gives you control over the lifecycle of the keys, including rotation, destruction, and auditing.

Set up a Cloud KMS key ring and create encryption keys that will be used to protect your data in BigQuery, Cloud SQL, and Cloud Storage.

Configure the services to use CMEK for encrypting data at rest, ensuring compliance with your organization's security policies.

Cloud External Key Manager (EKM):

Cloud EKM allows you to use keys managed by an external key management provider to encrypt data in Google Cloud services.

Integrate your external key management system with Google Cloud using supported protocols and APIs.

Configure your data warehouse services to use the external keys for encryption, ensuring that key management is handled outside of the Google Cloud environment.

Key Access Justifications:

Enable Key Access Justifications to provide visibility into why encryption keys are being accessed. This helps in monitoring and auditing key usage to ensure compliance and security.

Set up policies and logging to capture and review key access requests, providing insights into how and why keys are used.

Access Transparency and Approval:

Implement Access Transparency to gain visibility into Google’s access to your data and encryption keys.

Configure Access Approval to require explicit approval for Google support or engineering access to your data, adding an additional layer of security and control.

The requirement is to establish a network security boundary around a specific service (BigQuery) for resources in a Folder, while allowing the team to manage that boundary. This is the definition of using VPC Service Controls (VPC SC) with scoped policies.

VPC Service Controls (VPC SC): Used to create a service perimeter (a security boundary) around BigQuery and other Google Cloud services, which restricts API access.

Scoped Policy on the Folder: This enforces the boundary exactly at the required Folder level, as opposed to the organization level.

Access Context Manager Editor Role: Access Context Manager is the service that manages VPC SC policies (Service Perimeters and Access Levels). Granting this role on the scoped policy allows the data analytics team to fulfill the requirement to "control the restrictions."

Extracts (Conceptual Basis for VPC SC and Scoped Policies):

"Private Service Connect provides... Explicit authorization. Private Service Connect provides an authorization model that gives consumers and producers granular control, ensuring that only the intended service endpoints and no other resources can connect to a service." (Source 2.4 - VPC SC and PSC share a core architectural concept of explicit, service-oriented boundaries)

Option B is the technical implementation that matches the requirements: using a VPC SC service perimeter (for service restriction) applied as a scoped policy on the folder (for resource hierarchy scope) with Access Context Manager Editor (for team management/control).

The problem requires automating user provisioning to a Cloud Identity security group using a service account, adhering to Google-recommended practices and the principle of least privilege.

Cloud Identity Groups and Google Workspace: Cloud Identity groups are managed as part of Google Workspace. To programmatically manage Google Workspace resources (like groups), you typically use the Admin SDK APIs.

Domain-Wide Delegation: Service accounts cannot directly authenticate to Google Workspace APIs using IAM roles. Instead, they require "domain-wide delegation" to impersonate a user with the necessary administrative privileges within Google Workspace. This allows a service account to access user data or perform administrative tasks across the domain. The correct scope for managing groups is https://www.googleapis.com/auth/admin.directory.group.Extract Reference: "To allow a service account to access user data on behalf of users in a Google Workspace domain, you must delegate domain-wide authority to your service account." (Google Cloud documentation: https://developers.google.com/identity/protocols/oauth2/service-account#delegating)

Extract Reference (Admin SDK Scopes): The https://www.googleapis.com/auth/admin.directory.group scope is explicitly listed for "View and manage all groups on the domain." (Google Workspace Admin SDK documentation: https://developers.google.com/admin-sdk/directory/v1/scopes)

Application Default Credentials (ADC) with Resource-Attached Service Account: Google-recommended practices strongly advise against using service account keys directly for authentication when running on Google Cloud infrastructure. Instead, it's recommended to use Application Default Credentials (ADC) with a service account attached to the resource (e.g., a Compute Engine VM, Cloud Run service, or Cloud Functions). This method manages credentials automatically and securely, reducing the risk associated with managing and rotating keys.Extract Reference: "For most Google Cloud services, Application Default Credentials (ADC) is the recommended way to authenticate." and "When running code in a Google Cloud environment, such as Compute Engine, Cloud Run, or Cloud Functions, use the built-in service account to authenticate automatically with ADC. This is the most secure approach, as you don't need to manually create or manage service account keys." (Google Cloud documentation: https://cloud.google.com/docs/authentication/production)

Options C and D are incorrect because granting an IAM role like "Groups Editor" in Google Cloud does not enable a service account to manage Google Workspace (Cloud Identity) group memberships; domain-wide delegation is required for that. Option A uses a service account key, which is less secure than ADC with a resource-attached service account according to Google's recommendations.

Therefore, option B is the most aligned with Google's recommended practices for securely automating group provisioning using a service account and domain-wide delegation.

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.

To migrate the current data backup and disaster recovery solutions to GCP while keeping the production environment on-premises, the most scalable and cost-efficient solution is using Google Cloud Storage with scheduled tasks and the gsutil command.

Setup Cloud Storage: Create a Cloud Storage bucket to store the backups.

Go to the Cloud Console and navigate to Cloud Storage.

Click "Create bucket" and follow the prompts to configure the storage bucket.

Install gsutil: Ensure gsutil is installed on the on-premises servers.

gsutil is a command-line tool for interacting with Cloud Storage.

Follow the installation guide here.

Create Backup Script: Write a script to upload data to Cloud Storage using gsutil.

#!/bin/bash gsutil -m cp -r /path/to/local/backup gs://your-bucket-name

Schedule Backup Task: Use a scheduling tool like cron on Linux to run the backup script at regular intervals.

Edit the crontab file with crontab -e and add an entry like:

Cloud Storage Documentation

gsutil Documentation