You are a network administrator at your company planning a migration to Google Cloud and you need to finish the migration as quickly as possible, To ease the transition, you decided to use the same architecture as your on-premises network' a hub-and-spoke model. Your on-premises architecture consists of over 50 spokes. Each spoke does not have connectivity to the other spokes, and all traffic IS sent through the hub for security reasons. You need to ensure that the Google Cloud architecture matches your on-premises architecture. You want to implement a solution that minimizes management overhead and cost, and uses default networking quotas and limits. What should you do?
The correct answer is D because it meets the following requirements:
It matches the hub-and-spoke model of the on-premises network, where each spoke is a separate VPC network that is connected to a central hub VPC network.
VPC Network Peering overview | VPC
Hub-and-spoke network architecture | Cloud Architecture Center
You have the following Shared VPC design VPC Flow Logs is configured for Subnet-1 In the host VPC. You also want to monitor flow logs for Subnet-2. What should you do?
Understanding VPC Flow Logs:
VPC Flow Logs is a feature that captures information about the IP traffic going to and from network interfaces in a VPC. It helps in monitoring and analyzing network traffic, ensuring security, and optimizing network performance.
Current Configuration:
According to the diagram, VPC Flow Logs is already configured for Subnet-1 in the host VPC. This means that traffic information for Subnet-1 is being captured and logged.
Requirement for Subnet-2:
The goal is to monitor flow logs for Subnet-2, which is in the service project VPC.
Correct Configuration for Subnet-2:
To monitor the flow logs for Subnet-2, you need to configure VPC Flow Logs within the service project VPC where Subnet-2 resides. This is because VPC Flow Logs must be configured in the same project and VPC where the subnet is located.
Implementation Steps:
Go to the Google Cloud Console.
Navigate to the service project where Subnet-2 is located.
Select the VPC network containing Subnet-2.
Enable VPC Flow Logs for Subnet-2 by editing the subnet settings and enabling the flow logs option.
Cost and Performance Considerations:
Enabling VPC Flow Logs may incur additional costs based on the volume of data logged. Ensure to review and understand the pricing implications.
Analyze and manage the data collected to avoid unnecessary logging and costs.
Google Cloud VPC Flow Logs Documentation
Configuring VPC Flow Logs
Shared VPC Overview
By configuring VPC Flow Logs in the service project VPC for Subnet-2, you ensure that traffic data is correctly captured and monitored, adhering to Google Cloud's best practices.
You are a network administrator at your company planning a migration to Google Cloud and you need to finish the migration as quickly as possible, To ease the transition, you decided to use the same architecture as your on-premises network' a hub-and-spoke model. Your on-premises architecture consists of over 50 spokes. Each spoke does not have connectivity to the other spokes, and all traffic IS sent through the hub for security reasons. You need to ensure that the Google Cloud architecture matches your on-premises architecture. You want to implement a solution that minimizes management overhead and cost, and uses default networking quotas and limits. What should you do?
The correct answer is D because it meets the following requirements:
It matches the hub-and-spoke model of the on-premises network, where each spoke is a separate VPC network that is connected to a central hub VPC network.
VPC Network Peering overview | VPC
Hub-and-spoke network architecture | Cloud Architecture Center
You have the following Shared VPC design VPC Flow Logs is configured for Subnet-1 In the host VPC. You also want to monitor flow logs for Subnet-2. What should you do?
Understanding VPC Flow Logs:
VPC Flow Logs is a feature that captures information about the IP traffic going to and from network interfaces in a VPC. It helps in monitoring and analyzing network traffic, ensuring security, and optimizing network performance.
Current Configuration:
According to the diagram, VPC Flow Logs is already configured for Subnet-1 in the host VPC. This means that traffic information for Subnet-1 is being captured and logged.
Requirement for Subnet-2:
The goal is to monitor flow logs for Subnet-2, which is in the service project VPC.
Correct Configuration for Subnet-2:
To monitor the flow logs for Subnet-2, you need to configure VPC Flow Logs within the service project VPC where Subnet-2 resides. This is because VPC Flow Logs must be configured in the same project and VPC where the subnet is located.
Implementation Steps:
Go to the Google Cloud Console.
Navigate to the service project where Subnet-2 is located.
Select the VPC network containing Subnet-2.
Enable VPC Flow Logs for Subnet-2 by editing the subnet settings and enabling the flow logs option.
Cost and Performance Considerations:
Enabling VPC Flow Logs may incur additional costs based on the volume of data logged. Ensure to review and understand the pricing implications.
Analyze and manage the data collected to avoid unnecessary logging and costs.
Google Cloud VPC Flow Logs Documentation
Configuring VPC Flow Logs
Shared VPC Overview
By configuring VPC Flow Logs in the service project VPC for Subnet-2, you ensure that traffic data is correctly captured and monitored, adhering to Google Cloud's best practices.
You are designing an IP address scheme for new private Google Kubernetes Engine (GKE) clusters. Due to IP address exhaustion of the RFC 1918 address space In your enterprise, you plan to use privately used public IP space for the new clusters. You want to follow Google-recommended practices. What should you do after designing your IP scheme?
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:
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.
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