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Google Cloud Certified Professional Cloud Network Engineer · Google Cloud
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The correct answer is B: Create a target pool, add all backend instances to this target pool, and deploy the target pool behind your load balancer. This solution is ideal for a lift-and-shift migration where you want minimal changes to your existing backend configuration. By adding the backend instances to a target pool and linking it to the load balancer, you can effectively distribute traffic without introducing the complexity of managed instance groups or third-party appliances. This approach leverages GCP's native load balancing capabilities and meets the requirement for a straightforward migration.
B. Create a target pool, add all backend instances to this target pool, and deploy the target pool behind your load balancer. Explanation: Target Pool: A target pool is a GCP-native resource that allows you to group related instances as target instances. All instances in the target pool are considered equivalent targets for load balancing. Load Balancer: Placing the target pool behind a GCP load balancer allows you to distribute incoming traffic among the instances in the target pool. Lift-and-Shift Migration: Option B aligns with the lift-and-shift approach by allowing you to group existing instances (backend servers) into a target pool without significant modification to their configurations.
B: Google Cloud load balancing uses instance groups, both managed and unmanaged, to serve traffic. Depending on the type of load balancer you are using, you can add instance groups to a target pool or backend service. Answer is B: https://cloud.google.com/load-balancing/docs/target-pools External TCP/UDP Network Load Balancing can use either a backend service or a target pool to define the group of backend instances that receive incoming traffic Target pools work with forwarding rules that handle TCP and UDP traffic. You must create a target pool before you can use it with a forwarding rule.