Google Professional Cloud Network Engineer Question 159
Single answerGoogle Cloud PlatformYour organization is migrating workloads to Google Cloud and plans to establish a hybrid network between its on-premises data center and Google Cloud using a VPN. During the planning phase, you notice that your on-premises subnet range is 192.168.0.0/16, and the proposed Google Cloud subnet range is 192.168.1.0/24. What is the best course of action to avoid IP address conflicts when designing the IP address space?
- A
Proceed with the current IP ranges, as Google Cloud automatically manages overlapping IP addresses.
- B
Reconfigure the Google Cloud subnet to a non-overlapping range, such as 10.0.0.0/24.
- C
Use NAT (Network Address Translation) on the VPN to avoid the IP overlap.
- D
Split the on-premises subnet into smaller subnets to accommodate the Google Cloud subnet.
Show answer and explanation
Correct answer: B
Explanation
When extending a network to Google Cloud, IP address planning is critical to avoid overlapping ranges, which can lead to routing issues and connectivity problems. In this scenario, the on-premises subnet (192.168.0.0/16) overlaps with the proposed Google Cloud subnet (192.168.1.0/24). The best solution is to reconfigure the Google Cloud subnet to a completely non-overlapping range, such as 10.0.0.0/24. This ensures seamless communication between on-premises and cloud environments.
- A. Incorrect.
Google Cloud does not automatically handle overlapping IP ranges; manual planning is required to avoid conflicts.
- B. Correct.
Reconfiguring the Google Cloud subnet to a non-overlapping range, such as 10.0.0.0/24, is the correct approach to prevent IP conflicts between the on-premises and cloud environments.
- C. Incorrect.
While NAT could technically be used, it introduces unnecessary complexity and is not the optimal solution for avoiding IP address conflicts in this scenario.
- D. Incorrect.
Splitting the on-premises subnet does not resolve the fundamental issue of overlapping IP ranges between on-premises and Google Cloud.