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Google Professional Cloud Developer Exam - Topic 1 Question 106 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 106
Topic #: 1
[All Professional Cloud Developer Questions]

You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible. What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: B

https://cloud.google.com/anthos/run

Integrated with Anthos, Cloud Run for Anthos provides a flexible serverless development platform for hybrid and multicloud environments. Cloud Run for Anthos is Google's managed and fully supported Knative offering, an open source project that enables serverless workloads on Kubernetes.


by Letha at May 03, 2025, 08:31 AM

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Dorthy
2 months ago
D sounds risky, mixing cloud and on-prem like that?
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Jacki
2 months ago
A is interesting, but isn't Istio a bit complex for this setup?
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Twanna
2 months ago
B seems like the best option for scaling and managed services.
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Chantay
3 months ago
Totally agree with B! Cloud Run is super efficient.
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Dottie
3 months ago
C could work too, but I prefer B for simplicity.
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Berry
3 months ago
I recall that using Istio can help with service mesh capabilities, but I’m not convinced it’s necessary for this scenario. I might lean towards option B as well.
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Dottie
3 months ago
I’m a bit uncertain about the differences between Cloud Build and Cloud Run in this context. I feel like I might be mixing up the deployment strategies.
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Dierdre
4 months ago
I think option B sounds familiar because we practiced a similar question about using Cloud Run for Anthos. It seems like a good choice for scaling.
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Alysa
4 months ago
I remember we discussed the benefits of using Anthos for managing hybrid environments, but I'm not sure which deployment method is best for scaling.
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Dierdre
4 months ago
I'm a bit unsure about option D - using an external load balancer to distribute traffic across cloud and on-prem Kubernetes clusters. That seems like it could add unnecessary complexity compared to the Anthos-based solutions.
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Juliann
4 months ago
Yeah, option B does sound like the best fit. Anthos makes it easy to manage a consistent Kubernetes environment across cloud and on-prem, and Cloud Run handles a lot of the scaling and managed service aspects.
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Tyisha
4 months ago
I'm leaning towards option B - using GKE with Anthos and Cloud Run for Anthos. That seems like it would give us the scalability and managed services we need across both environments.
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Carmen
5 months ago
Okay, let me think this through. We need to design a microservices app that can scale up on demand and use managed services as much as possible. The app needs to be deployed in the cloud and on-premises.
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Nan
5 months ago
This question seems straightforward, but I want to make sure I understand the key requirements correctly before answering.
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Cassie
9 months ago
Hah, an 'external load balancer service?' What is this, the '90s? Cloud Run all the way, baby!
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Regenia
8 months ago
Hah, an 'external load balancer service?' What is this, the '90s? Cloud Run all the way, baby!
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Oliva
8 months ago
B) Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
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Brinda
8 months ago
A) Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
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Nguyet
9 months ago
Using an external load balancer to distribute traffic across cloud and on-premises is a clever idea. But I feel like the Cloud Run option is a bit more elegant.
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Willis
8 months ago
Using Cloud Run for Anthos sounds like a more elegant solution.
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Freida
9 months ago
B) Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
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James
9 months ago
A) Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
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Deandrea
9 months ago
I'm leaning towards option D. Having a GKE cluster in the cloud and on-premises with Kubernetes can offer flexibility and scalability.
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Devon
9 months ago
I disagree, I believe option B is better. Using Cloud Run for Anthos can provide better scalability and managed services.
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Erasmo
9 months ago
The multi-cluster Istio deployment sounds cool, but I'm not sure it's worth the complexity. I think the Cloud Run option is the way to go.
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Michell
8 months ago
True, but it might be more complex to manage in the long run.
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Justine
8 months ago
But wouldn't using Istio in a multi-cluster deployment give us more control over scaling?
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Miles
9 months ago
I agree, it seems like a simpler solution.
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Tamra
9 months ago
I think the Cloud Run option is the way to go.
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Kallie
9 months ago
I think option A sounds like a good choice. Istio can help with managing the microservices and scaling.
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Laquanda
9 months ago
Cloud Build integration with Anthos is a nice touch, but I'm not sure it's necessary here. I'd stick with the more straightforward Cloud Run approach.
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Veronika
9 months ago
Cloud Build integration with Anthos is a nice touch, but I'm not sure it's necessary here. I'd stick with the more straightforward Cloud Run approach.
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Deandrea
9 months ago
B) Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
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Annice
9 months ago
A) Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
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Kindra
10 months ago
Hmm, Istio seems like overkill for this use case. I'd go with the simplicity of Cloud Run for Anthos.
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Sylvia
9 months ago
Hmm, Istio seems like overkill for this use case. I'd go with the simplicity of Cloud Run for Anthos.
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Raelene
9 months ago
B) Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
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Delfina
9 months ago
A) Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
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