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Google Associate Cloud Engineer Exam - Topic 5 Question 114 Discussion

Actual exam question for Google's Associate Cloud Engineer exam
Question #: 114
Topic #: 5
[All Associate Cloud Engineer Questions]

You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?

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Suggested Answer: B

Managed instance groups offer autoscaling capabilities that let you automatically add or delete instances from a managed instance group based on increases or decreases in load (CPU Utilization in this case). Autoscaling helps your apps gracefully handle increases in traffic and reduce costs when the need for resources is lower. You define the autoscaling policy and the autoscaler performs automatic scaling based on the measured load (CPU Utilization in this case). Autoscaling works by adding more instances to your instance group when there is more load (upscaling), and deleting instances when the need for instances is lowered (downscaling). Ref: https://cloud.google.com/compute/docs/autoscaler


by Tawna at Nov 20, 2025, 12:43 PM

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Reynalda
9 hours ago
Surprised that D is even an option, seems overly complicated!
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Rebecka
6 days ago
Managed instance groups are the way to go! Easy to set up and super efficient.
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Rory
11 days ago
Haha, I bet the exam writers are hoping we don't pick the "third-party tools" option. That's just asking for trouble!
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Ruthann
16 days ago
C) is interesting, but scaling based on time of day might not be as responsive as CPU usage.
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Cristy
21 days ago
D) sounds like a lot of work. I'd rather go with the managed instance group approach.
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Portia
26 days ago
A) is a good option too, but it might be overkill for a single binary app.
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Novella
1 month ago
B) is the way to go. Scaling based on CPU usage is the most efficient approach.
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Sue
1 month ago
Using third-party tools for scaling seems like overkill, especially when GCP has built-in options. I’d lean towards B for efficiency.
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Leota
1 month ago
I’m a bit confused about the difference between options B and C. Both mention instance templates, but I don’t recall the specifics on time-based scaling.
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Dong
2 months ago
I think option B sounds familiar from our practice questions. Managed instance groups with autoscaling seem like the most straightforward approach for CPU usage.
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Wenona
2 months ago
I remember we discussed instance templates in class, but I'm not sure if they work best with managed instance groups for autoscaling.
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Brittney
2 months ago
Option C with time-of-day scaling might work, but it doesn't sound as responsive as the autoscaling in option B. I think I'd go with B to ensure the scaling is as efficient as possible.
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Selma
2 months ago
Option D seems interesting, but I'm not sure how reliable third-party tools would be for this kind of critical scaling task. I'd feel more comfortable with a native GCP solution.
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Beata
2 months ago
I disagree, A could be more efficient with containers.
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Teri
3 months ago
B is the best option for VM scaling!
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Nikita
3 months ago
I'm leaning towards option B as well. Creating an instance template and using a managed instance group is a straightforward way to handle the scaling requirements while staying within the VM-only constraint.
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Jess
3 months ago
Hmm, I think option B sounds like the best approach. Using a managed instance group with autoscaling based on CPU usage seems like it would meet the requirements for operational efficiency and quick scaling.
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Naomi
3 months ago
I'm a bit confused by the requirements here. We need to use VMs directly, but the question also mentions Kubernetes. I'm not sure if option A is valid.
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Susy
2 months ago
I think option A is not valid since we need to use VMs directly.
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