This GCDL practice question tests your understanding of google cloud products, services, and solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 retail company wants to migrate its on-premises e-commerce platform to Google Cloud. The application is stateless and runs on virtual machines. The company wants to minimize operational overhead and allow the application to automatically scale based on CPU utilization. Which Google Cloud service should they use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Google Kubernetes Engine (GKE)
Why wrong: Requires containerization and adds complexity beyond what is needed.
Cloud Run
Why wrong: Is for containers, not VMs.
Compute Engine with managed instance groups and autoscaling
Allows automatic scaling based on CPU utilization with low operational overhead.
App Engine Standard Environment
Why wrong: Is a PaaS and does not run VMs.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Compute Engine with managed instance groups and autoscaling
Option C is correct because the application runs on virtual machines and is stateless, making Compute Engine with managed instance groups and autoscaling the most direct fit. Managed instance groups automatically handle scaling based on CPU utilization without requiring containerization or code changes, minimizing operational overhead while preserving the existing VM-based architecture.
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.
Google Kubernetes Engine (GKE)
Why it's wrong here
Requires containerization and adds complexity beyond what is needed.
Cloud Run
Why it's wrong here
Is for containers, not VMs.
Compute Engine with managed instance groups and autoscaling
Why this is correct
Allows automatic scaling based on CPU utilization with low operational overhead.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
App Engine Standard Environment
Why it's wrong here
Is a PaaS and does not run VMs.
Common exam traps
The trap here is that candidates often choose GKE or Cloud Run because they associate 'autoscaling' with Kubernetes or serverless, but the question specifies 'virtual machines' and 'minimize operational overhead,' which points to a VM-native solution like Compute Engine with MIGs, not containerization or serverless platforms.
Detailed technical explanation
Managed instance groups (MIGs) use instance templates to define VM configurations and can apply autoscaling policies based on CPU utilization metrics collected by the Cloud Monitoring agent. Under the hood, the autoscaler calculates the desired number of instances using a target CPU utilization level (e.g., 0.6 for 60%) and adjusts the group size via the Compute Engine API, with a cool-down period to avoid thrashing. A real-world scenario where this matters is migrating a legacy e-commerce app that uses custom OS configurations or third-party agents, which cannot be easily containerized for GKE or Cloud Run.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Google Cloud products, services, and solutions — This question tests Google Cloud products, services, and solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Compute Engine with managed instance groups and autoscaling — Option C is correct because the application runs on virtual machines and is stateless, making Compute Engine with managed instance groups and autoscaling the most direct fit. Managed instance groups automatically handle scaling based on CPU utilization without requiring containerization or code changes, minimizing operational overhead while preserving the existing VM-based architecture.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Read the scenario before looking for a memorised answer.
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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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