Google Professional-Cloud-Network-Engineer Dumps

This answer follows the Google-recommended practices for using privately used public IP (PUPI) addresses for GKE Pod address blocks1. The benefits of this approach are:

• It allows you to use any public IP addresses that are not owned by Google or your organization for your Pods, which can help mitigate address exhaustion in your enterprise.
• It prevents any external traffic from reaching your Pods, as Google Cloud does not route PUPI addresses to the internet or to other VPC networks by default.
• It enables you to use VPC Network Peering to connect your GKE cluster to other VPC networks that use different PUPI addresses, as long as you enable the export and import of custom routes for the peering connection.
• It preserves the fully integrated network model of GKE, where Pods can communicate with nodes and other resources in the same VPC network without NAT.

The options that you need to select when creating a private GKE cluster with PUPI addresses are:

• –disable-default-snat: This option disables source NAT for outbound traffic from Pods to destinations outside the cluster’s VPC network. This is necessary to prevent Pods from using RFC 1918 addresses as their source IP addresses, which could cause conflicts with other networks that use the same address space2.
• –enable-ip-alias: This option enables alias IP ranges for Pods and Services, which allows you to use separate subnet ranges for them. This is required to use PUPI addresses for Pods1.
• –enable-private-nodes: This option creates a private cluster, where nodes do not have external IP addresses and can only communicate with the control plane through a private endpoint. This enhances the security and privacy of your cluster3.

Option A is incorrect because it does not use PUPI addresses for Pods, but rather RFC 1918 addresses. This does not solve the problem of address exhaustion in your enterprise. Option B is incorrect because it reuses the secondary address range for Services across multiple private GKE clusters, which could cause IP conflicts and routing issues. Option C is incorrect because it does not specify the options that are needed to create a private GKE cluster with PUPI addresses.

1: Configuring privately used public IPs for GKE | Kubernetes Engine | Google Cloud 2: Using Cloud NAT with GKE | Kubernetes Engine | Google Cloud 3: Private clusters | Kubernetes Engine | Google Cloud

The correct answer is D because it meets the following requirements:

• Each internal project has its own Google Cloud project, which can be easily created and deleted by Terraform using the google_project resource1.
• Each internal project has its own Google Cloud project owner, which can be assigned by Terraform using the google_project_iam_member resource1.
• The deployment is simple and the code is reusable with centralized management, because the Shared VPC allows you to connect multiple service projects to a single host project that contains the network resources2. This way, you can use Terraform modules to create and manage the network resources in the host project, and then reference them in the service projects3.

Option A is incorrect because it does not create separate Google Cloud projects for each internal project, which makes it harder to delete the infrastructure and assign project owners. Option B is incorrect because it does not create separate Google Cloud projects for each internal project, and also because it attaches the service projects to a Shared VPC, which is not recommended for short-lived projects2. Option C is incorrect because it does not use a Shared VPC, which means that each internal project has to create and manage its own network resources, which increases complexity and reduces reusability.

References:

• google_project - Terraform Registry
• Managing infrastructure as code with Terraform, Cloud Build, and GitOps | Google Cloud
• Automating your automation by Creating Google Cloud Projects Automatically