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Google Exam Professional Cloud Architect Topic 6 Question 94 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 94
Topic #: 6
[All Professional Cloud Architect Questions]

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 Asi

a. You want to reduce the latency for the users in Asia. What should you do?

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Suggested Answer: D

https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster-ingress#how_works

https://github.com/GoogleCloudPlatform/k8s-multicluster-ingress

https://cloud.google.com/blog/products/gcp/how-to-deploy-geographically-distributed-services-on-kubernetes-engine-with-kubemci


by Margurite at Sep 17, 2024, 07:29 PM

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Mike
4 months ago
I'm going to have to go with B. Gotta love that good old-fashioned multi-region architecture, even if it's not as fancy as the kubemci solution.
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Eugene
3 months ago
User 3: Agreed, having multiple clusters in different regions definitely helps with performance optimization.
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Zita
3 months ago
Yeah, B sounds like a solid choice. Setting up a second GKE cluster in asia-southeast1 makes sense for reducing latency in Asia.
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Altha
3 months ago
I'm going to have to go with B. Gotta love that good old-fashioned multi-region architecture, even if it's not as fancy as the kubemci solution.
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Myrtie
4 months ago
A is the obvious choice here. Who needs multiple clusters and load balancers when you can just enable Cloud CDN and let Google handle the global distribution for you?
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Junita
4 months ago
Haha, C is a classic 'throw more hardware at it' answer. As if increasing the resources on a single cluster is going to magically reduce latency for users halfway across the world.
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Renea
4 months ago
D looks good to me. Using kubemci to create a global HTTP(s) load balancer sounds like a more elegant solution than managing multiple load balancers.
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Edelmira
3 months ago
Agreed, it would definitely help reduce latency for users in Asia.
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Ricarda
3 months ago
Yeah, using kubemci to create a global HTTP(s) load balancer seems like a smart choice.
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Cristy
4 months ago
I think D is the best option.
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Edelmira
5 months ago
I think increasing the memory and CPU allocated to the application in the cluster could also help reduce latency for users in Asia.
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Lyndia
5 months ago
I disagree, I believe creating a second GKE cluster in asia-southeast1 and exposing both APIs using a Service of type Load Balancer would be more effective.
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Antione
5 months ago
I think the answer is B. Creating a second GKE cluster in Asia and using a Load Balancer Service to expose both APIs seems like the best way to reduce latency for the Asian users.
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Tasia
3 months ago
D
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Wilburn
4 months ago
B is the correct answer. By creating a second GKE cluster in Asia and using a Load Balancer Service, you can reduce latency for Asian users.
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Annmarie
4 months ago
B
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Malinda
4 months ago
A
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Alysa
4 months ago
B) Create a second GKE cluster in asia-southeast1, and expose both API's using a Service of type Load Balancer. Add the public Ips to the Cloud DNS zone
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Margot
5 months ago
A) Use a global HTTP(s) load balancer with Cloud CDN enabled
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Casie
5 months ago
I think we should use a global HTTP(s) load balancer with Cloud CDN enabled to reduce latency for users in Asia.
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