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

To migrate a legacy application to GCP without knowing what ports it uses and ensuring the environment is secure, the best approach is to use a "Lift & Shift" method in an isolated project and analyze the traffic using VPC Flow logs. Here’s a step-by-step explanation:

Isolated Project:

Create a new, isolated project within your GCP environment to host the legacy application. This isolation ensures that any potential misconfigurations do not affect other projects.

Lift & Shift:

Migrate the application as-is (lift and shift) to the new isolated project. This involves moving the application without altering its architecture.

Enable Internal TCP Traffic:

Configure VPC Firewall rules to allow all internal TCP traffic within the VPC network. This step ensures that the application components can communicate internally without interruption.

Use VPC Flow Logs:

Enable VPC Flow logs to capture information about the traffic to and from your application. VPC Flow logs provide details about the source, destination, port, and protocol of the traffic.

Analyze Traffic:

Analyze the VPC Flow logs to identify the necessary ports and protocols used by the application.

Based on this analysis, create specific firewall rules to allow only the required traffic, thereby tightening security.

Implementation Steps:

Navigate to the VPC network section in the GCP Console.

Create a new VPC or use an existing one, and configure firewall rules to allow internal TCP traffic.

Enable VPC Flow logs from the VPC network settings.

Migrate your application to the new project.

Monitor and analyze the VPC Flow logs to refine your firewall rules.

By following these steps, you can safely migrate the application, understand its network requirements, and secure it appropriately in the new GCP environment.

References:

Google Cloud VPC Documentation

VPC Flow Logs Documentation

A. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue:

Use Cloud Build to automate your CI/CD pipeline.

Integrate Container Analysis to scan container images for vulnerabilities during the build process.

If vulnerabilities are found, configure the build to fail, preventing deployment of insecure containers.

E. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster:

Use Binary Authorization to enforce deploy-time security policies.

Configure your CI/CD pipeline to generate attestations for container images that pass vulnerability scans.

Binary Authorization will then block deployments of any containers without valid attestations, ensuring only secure images are deployed.

References:

Cloud Build Overview

Container Analysis

Binary Authorization

To enhance the security of your microservices architecture on Google Kubernetes Engine (GKE) and ensure that only approved container images are deployed, implementing Binary Authorization is a robust solution.​

Option A: Enforcing Binary Authorization in your GKE clusters ensures that only container images that meet your organization's security policies are deployed. By integrating container image vulnerability scanning into your Continuous Integration/Continuous Deployment (CI/CD) pipeline, you can assess images for known vulnerabilities before they are deployed. Binary Authorization can be configured to use these vulnerability scan results to make policy decisions, effectively preventing the deployment of insecure images. This approach leverages managed services provided by Google Cloud, ensuring scalability and compliance with security standards.​

Option B: Developing custom organization policies to restrict deployments to images within a specific Artifact Registry project helps in controlling the source of images but does not inherently assess the security posture of those images. Without integrated vulnerability scanning and enforcement mechanisms, this approach may not fully mitigate the risk of deploying vulnerable images.​

Option C: Building a system using third-party vulnerability databases and custom scripts requires significant maintenance and may not integrate seamlessly with GKE. This approach can be error-prone and lacks the efficiency of managed services designed for this purpose.​

Option D: Automatically deploying new images upon successful CI/CD builds ensures rapid deployment but does not address the need for security assessments of the images. While setting up firewall rules is good practice, it does not prevent the deployment of potentially vulnerable images.​

Therefore, Option A is the most effective approach, as it utilizes Google Cloud's managed services to enforce security policies and integrate vulnerability assessments directly into the deployment process, ensuring that only approved and secure container images are deployed to your GKE clusters.​

References:

Binary Authorization Documentation

Container Analysis Documentation

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.

https://cloud.google.com/vpc/docs/packet-mirroring

Packet Mirroring clones the traffic of specified instances in your Virtual Private Cloud (VPC) network and forwards it for examination. Packet Mirroring captures all traffic and packet data, including payloads and headers.

To ensure that a Compute Engine instance does not have access to the internet or to any Google APIs or services, you need to disable the following settings:

Public IP: Disabling the public IP address ensures that the instance does not have a direct connection to the internet. Without a public IP address, the instance cannot be accessed from or communicate with the internet directly.

Private Google Access: Disabling Private Google Access ensures that the instance does not have access to Google APIs and services through the internal Google network. Private Google Access allows instances without a public IP to reach Google APIs and services using private IP addresses, but disabling it will block this path.

Disabling these settings will effectively isolate the instance from both the public internet and Google's internal API services.

References

Google Cloud VPC Documentation - Overview

Configuring Private Google Access

Compute Engine Network Overview

Admin activity logs are always created to log entries for API calls or other actions that modify the configuration or metadata of resources. For example, these logs record when users create VM instances or change Identity and Access Management permissions.