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Cloud Digital Leader Fundamental Cloud Concepts Practice Question

A startup is deploying a containerised web application on Google Cloud. They want to minimise operational overhead and only pay for the resources consumed when requests are being processed. The application should automatically scale to zero when idle. Which 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 a fully managed serverless container platform that scales to zero when idle and charges only for request processing time. App Engine is also serverless but requires a runtime environment and does not scale to zero as gracefully. Compute Engine and GKE require provisioning instances even if idle.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • App Engine Standard

    Why it's wrong here

    App Engine Standard is a fully managed platform, but its automatic scaling is designed to keep a minimum number of instances warm to handle sudden traffic. Even when there are no active requests, it can retain at least one billable instance, so it does not truly scale to zero. This means you incur cost for idle time, unlike services that shut down completely when unused.

  • Cloud Run

    Why this is correct

    Cloud Run is a serverless container execution service that automatically scales to zero instances when no requests are in-flight. You are billed only for the exact time your container processes a request, down to 100-millisecond increments, with no cost for idle periods. Its HTTP-triggered, pull-based model makes it ideal for a containerized web application that experiences variable or low traffic.

  • Google Kubernetes Engine (GKE)

    Why it's wrong here

    GKE is Kubernetes with a Google-managed control plane, but it runs your containers on a pool of Compute Engine VMs that are billed while they exist. Even with cluster autoscaling, the node pool must retain at least one node to host kube-system pods and the cluster's infrastructure, so it cannot scale to zero. This means a containerized web app on GKE carries a baseline cost even when the app is idle.

  • Compute Engine

    Why it's wrong here

    Compute Engine provides raw virtual machines that are provisioned and billed by the second (or minute) from the moment they are started until they are stopped. You would need to manually stop the VM or set up complex automation to remove the instance when the app is idle, since there is no built-in scale-to-zero for containerized workloads. Idle VMs continue to incur costs, making this a poor fit for a startup wanting to minimize spend.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.