Load balancing is how external traffic actually reaches your Google Kubernetes Engine workloads, and the Professional Cloud Architect exam expects you to know which load balancer fits which scenario. The good news is that Cloud Load Balancing integrates cleanly with GKE, so you usually do not have to build anything custom. The harder part is knowing what to choose when the question describes a multi-region application or a regulated workload that needs HTTPS termination at the edge.
The pattern you should picture is straightforward. External users send requests to a public IP address managed by Cloud Load Balancing. The load balancer terminates HTTPS, then forwards traffic into the cluster, where it is distributed across pods running on different nodes. From the application's perspective, the load balancer is what gives the cluster a stable, reachable address. From the cluster's perspective, the load balancer is what keeps any single pod or node from being overloaded while requests are flowing in.
This integration is not something you bolt on after the fact. GKE understands Cloud Load Balancing natively, and the routing decisions account for pod availability rather than just node IPs. If a pod is unhealthy or being recycled during a rolling update, traffic shifts to the remaining healthy pods automatically. That is what makes the combination reliable for production workloads, and it is also why exam questions about exposing a GKE service rarely involve anything more exotic than picking the right load balancer type.
The scenario worth memorizing for the Professional Cloud Architect exam is the multi-region one. Imagine two GKE clusters, one in us-east1 and one in europe-west1, both running the same application. You want users in North America to hit the closer cluster and users in Europe to hit theirs, without managing two separate DNS records or building geo-routing logic yourself.
That is exactly what a global external load balancer gives you. It exposes a single globally accessible IP address. DNS resolves to that one address regardless of where the user is, and the load balancer routes each request to the nearest healthy regional backend. If us-east1 has a problem, traffic from North American users automatically shifts to europe-west1 until the regional backend recovers. You get low latency in the normal case and high availability when something goes wrong, without the application having to know any of this is happening.
Two other capabilities matter for the exam. First, the global load balancer simplifies DNS and traffic management because you are managing one IP and one set of forwarding rules instead of per-region setups. Second, it supports HTTPS termination at the edge. SSL and TLS handshakes happen at the load balancer, not on your backend pods, which offloads CPU work from the cluster and centralizes certificate management. When a question describes a global application that needs secure traffic routing without the complexity of per-region certificates, a global external HTTPS load balancer is the answer.
If a question describes a single-region GKE workload that needs a public IP, Cloud Load Balancing in front of the cluster is the standard answer. If the question adds geographic distribution, low latency for users in different continents, or a single IP for a multi-region application, that is your signal for the global external load balancer. HTTPS termination, single global IP, automatic routing to the nearest healthy backend, and simplified DNS are the four properties to recognize.
My Professional Cloud Architect course covers load balancing GKE workloads alongside the rest of the containers and serverless material.
