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?

AUse a global HTTP(s) load balancer with Cloud CDN enabled

BCreate 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

CIncrease the memory and CPU allocated to the application in the cluster

DCreate a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer

Show Suggested Answer

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

2 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

1 months ago

User 3: Agreed, having multiple clusters in different regions definitely helps with performance optimization.

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Zita

1 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

1 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

2 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

2 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

2 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

1 months ago

Agreed, it would definitely help reduce latency for users in Asia.

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Ricarda

1 months ago

Yeah, using kubemci to create a global HTTP(s) load balancer seems like a smart choice.

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Cristy

2 months ago

I think D is the best option.

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Edelmira

3 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

3 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

3 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

1 months ago

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Wilburn

2 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

2 months ago

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Malinda

2 months ago

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Alysa

2 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

3 months ago

A) Use a global HTTP(s) load balancer with Cloud CDN enabled

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Casie

3 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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