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Google ACE Deploying and Implementing a Cloud Solution Practice Question

An organization wants to deploy a containerized web application on Google Cloud with minimum operational overhead. The application should scale to zero when not in use and only incur costs when serving requests. Which service should they choose?

⚠ Common exam trap

ACE often tests serverless vs. managed vs. IaaS trade-offs — candidates pick GKE or App Engine Flexible thinking 'containerized' implies Kubernetes, but the scale-to-zero and minimum-overhead requirements point to Cloud Run.

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 there is no traffic and charges only for resources consumed during request handling. It abstracts away cluster management, making it the lowest-operational-overhead choice for a containerized web app that must scale to zero.

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 Flexible Environment

    Why it's wrong here

    App Engine Flexible Environment deploys containers on managed Compute Engine VMs, but it does not support scaling to zero instances; the service guarantees at least one VM is always running, so you pay for idle capacity even when there is no traffic. The platform also introduces version-specific instance configurations and requires manual tuning of min/max instances. For a containerized workload that needs burst scaling and cost-free idle, this is less aligned than a serverless option.

  • ✗

    Google Kubernetes Engine (GKE)

    Why it's wrong here

    Google Kubernetes Engine (Standard mode) requires a persistent Kubernetes cluster whose control plane is billed monthly, and each node pool must maintain at least one underlying VM node, making it impossible to achieve true scale-to-zero and zero-cost idle without manually deleting and recreating the cluster. Operating GKE also demands continuous infrastructure management—node upgrades, cluster scaling, and monitoring—which contradicts the goal of minimal operational overhead. While GKE can autoscale workloads, the cluster itself remains an always-on cost center.

  • ✗

    Compute Engine with container-optimized OS

    Why it's wrong here

    Compute Engine instances running container-optimized OS (COS) give you a VM that is optimized for containers, but it is still a virtual machine that you must provision, secure, patch, and monitor. It does not provide a built-in scale-to-zero mechanism; you would need to integrate with managed instance groups and autoscaling policies, and even then the instance group usually keeps at least one VM running to serve health checks. This approach incurs operational overhead and does not offer per-request billing or fully automatic scaling.

  • ✓

    Cloud Run

    Why this is correct

    Cloud Run is a fully managed serverless platform that executes containers in a stateless, request-driven model: when there are no incoming requests, it can scale the service down to zero instances, so you are not charged for idle resources. It automatically scales up to handle traffic spikes, and billing is based on request duration and CPU/memory usage during active processing, measured in 100ms increments. This makes it the most operationally efficient choice for a containerized web application that expects variable traffic.

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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This ACE question is part of Courseiva's 775-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Google Cloud exam blueprint

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.