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Google PCA Practice Question: Managing and Provisioning a Solution Infrastructure

A developer wants to deploy a containerized web application on Google Cloud that can scale to zero when not in use and charges only for resources consumed during request processing. Which compute service should they choose?

⚠ Common exam trap

PCA often tests the difference between serverless container options — candidates confuse App Engine Flexible (always-on instances) with Cloud Run (true scale-to-zero, per-request billing) when the question emphasizes cost only during request processing.

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 bills only for CPU/memory consumed during request processing (and optionally during background work). It runs any containerized HTTP application, making it the exact match for the stated requirements. GKE and Compute Engine do not scale to zero, and App Engine Flexible keeps at least one instance running.

Answer analysis

Option-by-option breakdown

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

  • ✓

    Cloud Run

    Why this is correct

    Cloud Run runs stateless containers on a fully managed, request-driven platform that scales to zero when idle, billing only per request and consumed CPU/memory. This directly satisfies the stem's constraints: containerised deployment, automatic scale-to-zero, and pay-only-during-request-processing charging.

  • ✗

    Google Kubernetes Engine (GKE)

    Why it's wrong here

    GKE requires at least one node in the cluster, so it cannot scale to zero. It is not serverless and incurs costs for idle resources.

  • ✗

    App Engine Flexible Environment

    Why it's wrong here

    App Engine Flexible Environment keeps at least one instance running and bills for the underlying Compute Engine instances continuously, so it cannot scale to zero. It is tempting because it runs containers, but the request-driven, scale-to-zero model described belongs to Cloud Run.

  • ✗

    Compute Engine instance group

    Why it's wrong here

    Compute Engine instance groups run persistent VMs that bill for provisioned uptime, so they cannot scale to zero or charge per request. They suit steady-state workloads needing full OS control. The stem's per-request billing and zero-scale requirement point to Cloud Run.

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

About these practice questions

This PCA question is part of Courseiva's 807-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 PCA 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 PCA exam.