The correct approach is to deploy a global HTTP(S) Load Balancer with backend services in each region. This works because the load balancer uses a single global anycast IP address and Google Front End (GFE) infrastructure to route user traffic over Google’s private fiber backbone to the nearest healthy backend instance, bypassing the congested public internet and dramatically reducing latency for a global application. On the Google Professional Cloud Network Engineer exam, this scenario tests your understanding of how global load balancing leverages Google’s network to optimize performance, often appearing as a distractor against regional load balancers or Cloud CDN alone. A common trap is assuming Cloud CDN alone solves latency for dynamic content, but the global HTTP(S) Load Balancer is the core routing mechanism. Remember the memory tip: “Anycast IP + GFE = global low latency,” meaning the anycast address ensures traffic enters Google’s network at the closest point, while the GFE directs it over the private backbone.
PCNE Implementing a Virtual Private Cloud Practice Question
This PCNE practice question tests your understanding of implementing a virtual private cloud. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has deployed a global application on Compute Engine instances in multiple regions. Users are experiencing high latency connecting to the application. The network team wants to use Google Cloud's global network to improve performance. Which approach should they take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy a global HTTP(S) Load Balancer with backend services in each region.
A global HTTP(S) Load Balancer uses Google Cloud's global anycast IP address and the Google Front End (GFE) infrastructure to route traffic over Google's private network to the closest healthy backend instance. This reduces latency by avoiding the public internet and leveraging Google's global fiber backbone, making it the correct choice for improving performance for a globally distributed application.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Deploy a global HTTP(S) Load Balancer with backend services in each region.
Why this is correct
Global HTTP(S) LB uses anycast IP and proxies traffic to the closest region, reducing latency.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Cloud DNS with geo-routing to direct users to regional load balancers.
Why it's wrong here
DNS-based routing does not provide the performance of proximity-based anycast on Google's network; it also has caching issues.
✗
Set up Cloud NAT with multiple static IP addresses for each region.
Why it's wrong here
Cloud NAT is for outbound traffic only, not for inbound user traffic.
✗
Assign a global anycast IP address to all instances and use BGP to advertise it.
Why it's wrong here
Global anycast IP addresses are not supported in Google Cloud for direct instance assignment; BGP advertising is not possible.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that anycast IPs can be directly assigned to instances or that BGP-based anycast is a viable option in Google Cloud, when in fact only Google-managed load balancers can provide anycast IPs, and customers cannot advertise their own anycast prefixes.
Detailed technical explanation
How to think about this question
The global HTTP(S) Load Balancer is a Layer 7 proxy that terminates client connections at the Google Front End (GFE) closest to the user, then proxies the request over Google's private network to the optimal backend instance based on capacity and proximity. This architecture uses a single anycast VIP (e.g., 34.96.0.0/16 range) that is announced from all GFE locations, enabling automatic failover and low-latency routing without DNS changes. In a real-world scenario, a user in Sydney connecting to a backend in Oregon would have their traffic travel entirely over Google's private backbone rather than the public internet, reducing latency by 30-60%.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implementing a Virtual Private Cloud — This question tests Implementing a Virtual Private Cloud — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy a global HTTP(S) Load Balancer with backend services in each region. — A global HTTP(S) Load Balancer uses Google Cloud's global anycast IP address and the Google Front End (GFE) infrastructure to route traffic over Google's private network to the closest healthy backend instance. This reduces latency by avoiding the public internet and leveraging Google's global fiber backbone, making it the correct choice for improving performance for a globally distributed application.
What should I do if I get this PCNE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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