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Exam Professional Cloud Architect All Questions

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Exam Professional Cloud Architect topic 1 question 136 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 136
Topic #: 1
[All Professional Cloud Architect Questions]

Your company is developing a new application that will allow globally distributed users to upload pictures and share them with other selected users. The application will support millions of concurrent users. You want to allow developers to focus on just building code without having to create and maintain the underlying infrastructure. Which service should you use to deploy the application?

  • A. App Engine
  • B. Cloud Endpoints
  • C. Compute Engine
  • D. Google Kubernetes Engine
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Suggested Answer: A 🗳️

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kopper2019
Highly Voted 2 years, 6 months ago
A, App Engine, you just want you people dedicated to the App
upvoted 27 times
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Rzla
Highly Voted 2 years, 3 months ago
AppEngine is regional. Millions of distributed global users = GkE.
upvoted 13 times
joe2211
2 years, 1 month ago
But "focus on just building code without having to create and maintain the underlying infrastructure" => A right
upvoted 7 times
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thewalker
Most Recent 1 month ago
Selected Answer: D
D GKE - Auto mode is free from managing the underlying infra.
upvoted 1 times
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rakp
3 months, 1 week ago
Selected Answer: A
Compute Engine & Google Kubernetes Engine are not pure PaaS, so they will require some management and maintenance. So C & D are eliminated. Cloud Endpoints is also not best fit for the given requirement, so B is also eliminated. App Engine is fully managed platform.
upvoted 6 times
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Aninina
1 year, 1 month ago
Selected Answer: A
App Engine would work
upvoted 1 times
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megumin
1 year, 1 month ago
Selected Answer: A
A is ok
upvoted 1 times
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AzureDP900
1 year, 6 months ago
App Engine is right choice, Developer can focus on developing code rather than worry about infrastructure. A is right
upvoted 3 times
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Jabree12
1 year, 6 months ago
The users are global but doesn't mean that app can't be regional. A is the correct answer it seems.
upvoted 1 times
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learner311
1 year, 8 months ago
Another dumb question. Does the company have an operations team? K8s is specifically meant for appcode devs to be abstracted away from infra and your devops/ops handles the infra making it so all a dev has to do is say "here's my built container image that was built in a fully automated fashion that was completely abstracted from me after I merged my pull request". Then again, test writes are def going for app engine here.
upvoted 2 times
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azureaspirant
1 year, 10 months ago
2/15/21 exam
upvoted 2 times
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mshry
1 year, 10 months ago
Selected Answer: A
I am seeing some confusion in answers for questions relating to requests or concurrent sessions being served by a solution. I think we ought not to look at API rate limits being synonymous to data handling limits, as these are programming limits to that API. An analogy would be comparing the control plane request limits to the data limits.
upvoted 1 times
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haroldbenites
1 year, 10 months ago
go for A
upvoted 1 times
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anjuagrawal
2 years ago
Why not Cloud Endpoint?
upvoted 1 times
Urban_Life
2 years ago
Not to manage infra so it's A
upvoted 1 times
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vincy2202
2 years ago
Selected Answer: A
A is the correct answer
upvoted 2 times
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ravisar
2 years, 1 month ago
In GKE, you have to create underlying infrastructure. It is not PAAS. Only app engine provide capability for developers to focus on code. The GKE, you need to configure many other items Apart from Code. So A seems to be more accurate. Regarding global nature, the app engine application servers users globally. I agree that there may be little latency for regions other than NA, however since the focus of the question is "Code", I would select A.
upvoted 4 times
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XAliX
2 years, 1 month ago
App Engine support limited numbers of languages, they does not mention which interface, so for flexibity i will go for D
upvoted 1 times
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danielfootc
2 years, 2 months ago
I would say it's App Engine for developers to focus on code.
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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