- A
Google Kubernetes Engine (GKE)
Why wrong: GKE requires a cluster of nodes that incur cost even when idle.
- B
App Engine Standard Environment
Why wrong: App Engine Standard uses language runtimes, not containers, and scales to zero but not for custom containers.
- C
Cloud Run
Cloud Run runs containers and scales to zero, ideal for pay-per-use.
- D
Compute Engine with autoscaling
Why wrong: Compute Engine instances have a minimum of 1 instance, so they cannot scale to zero.
Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions
This GCDL practice question tests your understanding of google cloud products, services, and solutions. 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 startup wants to run a containerized web application that scales to zero when not in use, and only pay for the time the container is processing requests. Which Google Cloud compute service should they choose?
Answer choices
Why each option matters
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 the correct choice because it is a fully managed serverless compute platform that automatically scales your containerized application to zero when there are no incoming requests. You are billed only for the resources consumed during request processing, measured in 100-millisecond increments, which aligns perfectly with the requirement to pay only for active processing time.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Google Kubernetes Engine (GKE)
Why it's wrong here
GKE requires a cluster of nodes that incur cost even when idle.
- ✗
App Engine Standard Environment
Why it's wrong here
App Engine Standard uses language runtimes, not containers, and scales to zero but not for custom containers.
- ✓
Cloud Run
Why this is correct
Cloud Run runs containers and scales to zero, ideal for pay-per-use.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Compute Engine with autoscaling
Why it's wrong here
Compute Engine instances have a minimum of 1 instance, so they cannot scale to zero.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'scaling to zero' with 'autoscaling' and choose Compute Engine or GKE, not realizing that those services require at least one running instance or node, whereas Cloud Run is the only option that can truly scale down to zero instances when idle.
Detailed technical explanation
How to think about this question
Cloud Run uses Knative, an open-source Kubernetes-based platform, to abstract away the underlying infrastructure. When a request arrives, Cloud Run automatically scales up a container instance from zero, processes the request, and then scales back down after a configurable idle timeout (default 5 minutes). This is achieved through a request-driven autoscaler that monitors concurrent request counts and adjusts the number of container instances accordingly, enabling true pay-per-use billing at sub-second granularity.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this GCDL question test?
Google Cloud products, services, and solutions — This question tests Google Cloud products, services, and solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Run — Cloud Run is the correct choice because it is a fully managed serverless compute platform that automatically scales your containerized application to zero when there are no incoming requests. You are billed only for the resources consumed during request processing, measured in 100-millisecond increments, which aligns perfectly with the requirement to pay only for active processing time.
What should I do if I get this GCDL question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 25, 2026
This GCDL 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 GCDL exam.
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