Topic 1 Question 154
Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for users in Asia. What should you do?
Create a second GKE cluster in asia-southeast1, and expose both APIs using a Service of type LoadBalancer. Add the public IPs to the Cloud DNS zone.
Use a global HTTP(s) load balancer with Cloud CDN enabled.
Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer.
Increase the memory and CPU allocated to the application in the cluster.
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コメント(17)
- 👍 31vladik8202021/08/25
I'm not sure about C. kubemci is deprecated and is not part anymore of cloud sdk in favor of ingress for anthos. I'll go with A
👍 9Lk98762021/09/10- 正解だと思う選択肢: C
Answer is C but kubemci is deprecated, now you have to go with: Multi Cluster Ingress is a cloud-hosted controller for Google Kubernetes Engine (GKE) clusters. It's a Google-hosted service that supports deploying shared load balancing resources across clusters and across regions. To deploy Multi Cluster Ingress across multiple clusters, complete Setting up Multi Cluster Ingress then see Deploying Ingress across multiple clusters. https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster-ingress
👍 4ale_brd_2022/12/05
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