This ACE practice question tests your understanding of planning and configuring a cloud solution. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer wants to deploy a containerized application that can scale to zero when not in use and only pay for resources consumed during request processing. Which compute option should they choose?
App Engine Flexible Environment
Why wrong: Flexible environment always runs at least one instance.
Cloud Run
Cloud Run scales to zero when not in use.
Compute Engine with managed instance groups
Why wrong: MIGs require at least one instance running, cannot scale to zero.
Google Kubernetes Engine
Why wrong: GKE requires at least one node, cannot scale to zero.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Cloud Run
Cloud Run is a fully managed serverless compute platform that automatically scales your containerized applications from zero instances up to handle traffic, and scales back down to zero when there are no requests. You only pay for the resources (CPU, memory, and networking) consumed during request processing, with no charges when the service is idle. This makes it the ideal choice for the described use case of scaling to zero and pay-per-request billing.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
App Engine Flexible Environment
Why it's wrong here
Flexible environment always runs at least one instance.
Cloud Run
Why this is correct
Cloud Run scales to zero when not in use.
Related concept
Read the scenario before looking for a memorised answer.
Compute Engine with managed instance groups
Why it's wrong here
MIGs require at least one instance running, cannot scale to zero.
Google Kubernetes Engine
Why it's wrong here
GKE requires at least one node, cannot scale to zero.
Common exam traps
Google Cloud often tests the misconception that 'containerized' implies Kubernetes or Compute Engine, but the key differentiator here is the requirement to 'scale to zero' and 'pay only for request processing,' which is a serverless property unique to Cloud Run among the listed options.
Detailed technical explanation
Cloud Run uses Knative serving under the hood, which implements the concept of 'scale-to-zero' by setting the `minScale` to 0 and `maxScale` to a configurable limit. When a request arrives, the Cloud Run cold start mechanism spins up a container instance (typically within a few hundred milliseconds) using a cached base image, and the request is routed via the Google Front End (GFE) and an internal load balancer. A real-world scenario where this matters is a background job or webhook endpoint that receives sporadic traffic; Cloud Run ensures you pay only for the milliseconds of CPU time used, whereas other options would require a continuously running VM or pod.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Planning and configuring a cloud solution — This question tests Planning and configuring a cloud solution — Read the scenario before looking for a memorised answer..
The correct answer is: Cloud Run — Cloud Run is a fully managed serverless compute platform that automatically scales your containerized applications from zero instances up to handle traffic, and scales back down to zero when there are no requests. You only pay for the resources (CPU, memory, and networking) consumed during request processing, with no charges when the service is idle. This makes it the ideal choice for the described use case of scaling to zero and pay-per-request billing.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This ACE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the ACE exam.
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