Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions
A developer wants to deploy a containerized web application without managing servers, clusters, or Kubernetes configuration. The application should automatically scale to zero when not in use and handle bursts of traffic. Which Google Cloud service is the best fit?
⚠ Common exam trap
It's easy for candidates to confuse Cloud Run with App Engine Standard, thinking both support containers, but App Engine Standard requires specific language runtimes and does not allow custom container images, while Cloud Run is purpose-built for containerized workloads with automatic zero-scaling.
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 best fit because it is a fully managed serverless container platform that automatically scales to zero when idle and scales up to handle traffic bursts, without requiring any server, cluster, or Kubernetes configuration. The developer simply deploys a container image, and Cloud Run handles all infrastructure management, including scaling and load balancing.
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 is a managed Kubernetes service, but "managed" means Google manages the control plane, not the entire experience. You still define clusters, node pools, resource requests/limits, and autoscaling policies for pods and nodes. Even GKE Autopilot does not scale the entire cluster to zero because it must run system components and kube-system workloads, making it heavier than Cloud Run.
- ✓
Cloud Run
Why this is correct
Cloud Run is the correct choice because it abstracts away all infrastructure and Kubernetes concepts: you deploy a container image, and Cloud Run runs it in a fully managed, autoscaled execution environment. It scales to zero when idle, so you pay for only the exact duration of requests or instances during active traffic. This gives you container portability and common HTTP API support without the operational burden of GKE or the runtime lock-in of App Engine.
- ✗
Compute Engine
Why it's wrong here
Compute Engine provides raw virtual machine instances, meaning you are responsible for provisioning VMs, maintaining the guest OS, installing the container runtime, and configuring autoscaling and load balancing yourself. An unmanaged VM obviously cannot scale to zero; even if you use a managed instance group with autoscaling, you must manage instance templates, health checks, and minimum instance count, and you are billed per VM rather than per request. This is operational overhead that violates the serverless, zero-infrastructure requirement.
- ✗
App Engine Standard
Why it's wrong here
App Engine Standard is a fully managed serverless platform that does scale to zero, but it is designed for source code written in specific supported runtimes, not arbitrary containers. You must adapt your application to App Engine's runtime environment and use their SDKs/APIs for services like memcache or datastore. If your container ships as-is, App Engine Standard cannot simply run it, while Cloud Run directly executes any standard OCI container.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
Serverless
Serverless is a cloud computing model where the cloud provider manages the servers, and you only pay for the actual compute time your code uses, without having to worry about provisioning or maintaining infrastructure.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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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.