Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions
A startup wants to deploy a containerized web application without managing the underlying infrastructure. They want to only focus on code. Which Google Cloud service is most suitable?
⚠ Common exam trap
Many exam-takers confuse App Engine's automatic scaling with container support, overlooking that App Engine Standard requires specific language runtimes and does not accept arbitrary containers, while Cloud Run provides true container portability without infrastructure management.
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 correct choice because it is a fully managed serverless platform that executes stateless containers in a request-driven environment, abstracting all infrastructure management. This allows the startup to focus solely on code by deploying container images directly from Artifact Registry or Container Registry, with automatic scaling down to zero when not in use.
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
Why it's wrong here
Google Kubernetes Engine (GKE) is a managed Kubernetes service, but 'managed' refers to the control plane, not the entire experience. You still need to configure and maintain node pools, handle OS patch management, and plan for cluster autoscaling and upgrade strategies. Even with GKE Autopilot, which reduces node-level ops, the cluster design and workload orchestration remain your responsibility, so it does not fully abstract infrastructure away.
- ✗
Compute Engine
Why it's wrong here
Compute Engine is an Infrastructure-as-a-Service (IaaS) offering where you provision and manage virtual machines. To run containers, you would need to set up and maintain a container runtime, orchestrate across instances, handle load balancing, and apply OS-level security patches. This requires significant manual infrastructure management and operational overhead, making it unsuitable for a startup seeking a fully managed, serverless deployment model.
- ✗
App Engine
Why it's wrong here
App Engine is a Platform-as-a-Service (PaaS) that abstracts the underlying servers, but it is not optimized for arbitrary containers. The Standard environment requires applications to conform to specific runtimes and sandbox constraints, while the Flexible environment supports custom containers but with limited control over the environment and slower scaling. Neither provides the direct, container-native deployment experience of a purpose-built serverless container platform.
- ✓
Cloud Run
Why this is correct
Cloud Run is a fully managed serverless platform that executes stateless containers directly from an image. It abstracts all infrastructure, including servers, OS, and cluster management, and automatically scales from zero to N instances based on incoming traffic. You only pay for resources used while a request is being processed, and it brings your existing Dockerfile-based workflow without requiring Kubernetes or VM administration.
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
Artifact Registry
Artifact Registry is a managed service for storing, managing, and securing container images and other software packages in a centralized repository.
Key term
Container
A container is a lightweight, standalone software package that includes everything needed to run an application, such as code, runtime, system tools, and libraries.
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JA
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.