Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions
A company needs to run containerized workloads but wants to avoid managing Kubernetes cluster infrastructure (node pools, cluster upgrades, node autoscaling) entirely. They want to simply deploy container images and have Google Cloud manage all underlying infrastructure automatically. Which Google Cloud product best fits this fully managed container execution requirement?
⚠ Common exam trap
It's easy for candidates to confuse App Engine Flexible with a fully managed container service, but it still requires managing VM instances and does not provide the same serverless abstraction as 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, which executes container images on fully managed serverless infrastructure with automatic scaling and no cluster or node management
Cloud Run is the correct choice because it provides a fully managed serverless platform that executes container images without any cluster or node management. It automatically handles scaling, infrastructure provisioning, and maintenance, aligning perfectly with the requirement to avoid managing Kubernetes cluster infrastructure entirely.
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) Standard mode, where the team manages node pools and cluster configuration
Why it's wrong here
GKE Standard puts a Kubernetes cluster under your operational control, meaning you are responsible for node pools, cluster upgrades, node auto-provisioning settings, and cluster-level configuration such as networking and workload identity. You must monitor and repair nodes and plan for cluster capacity; this is not the zero-infrastructure model the requirement asks for. The cluster control plane is managed by Google, but the node infrastructure and many day-2 operations remain your responsibility.
- ✓
Cloud Run, which executes container images on fully managed serverless infrastructure with automatic scaling and no cluster or node management
Why this is correct
Cloud Run is the answer. Developers provide a container image; Cloud Run handles all infrastructure: no node pools, no cluster upgrades, no capacity planning. It scales automatically from zero to thousands of instances based on request traffic. It's the most infrastructure-free container execution option on Google Cloud.
- ✗
Compute Engine with a startup script that pulls and runs the container image from Artifact Registry
Why it's wrong here
Compute Engine requires you to provision and manage the underlying virtual machines: you must choose machine types, maintain OS patches and security updates, install and update Docker, maintain the startup script that pulls the image from Artifact Registry, and separately configure autoscaling, health checks, and a load balancer. That is precisely the infrastructure management the requirement eliminates. Even with a startup script, you remain responsible for capacity planning and VM lifecycle, so it is not a managed serverless execution model.
- ✗
App Engine Flexible, which runs containers on managed virtual machines
Why it's wrong here
App Engine Flexible runs containers on managed VMs but is slower to scale, doesn't scale to zero, and has more infrastructure overhead than Cloud Run. Cloud Run is the modern, preferred choice for containerized serverless execution.
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
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.
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.
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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.