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Answer: Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
The question focuses on optimizing for performance by distributing the system architecture to multiple locations to reduce latency. Option A is correct because it uses regional managed instance groups (MIGs) behind a global load balancer (GLB), allowing each regional MIG to scale independently based on traffic and route users to the nearest region, minimizing latency. The community discussion strongly supports A, with high upvotes (e.g., 31 upvotes) and reasoning that GLB with MIGs provides low latency and scalability without unnecessary complexity. Option D is incorrect as it introduces an extra hop (VMs forwarding to other VMs), which adds latency and contradicts the performance goal. Options B and C are less suitable: B involves manual management by an operations team, reducing automation, and C emphasizes reliability over performance, which is not the primary requirement here.
Author: LeetQuiz Editorial Team
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The current Dress4Win system architecture experiences high latency for some customers because it is located in a single data center. As part of a future evaluation to optimize for performance in the cloud, Dress4Win wants to distribute its system architecture to multiple locations on the Google Cloud Platform.
Which approach should they use?
A
Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
B
Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.
C
Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
D
Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.
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