Cloud Digital Leader Why cloud technology is transforming business Practice Question
A company migrating to the cloud wants to focus on building applications rather than managing servers. Which Google Cloud compute service provides a fully managed platform for web applications that automatically scales?
⚠ Common exam trap
Candidates often confuse 'fully managed' with 'serverless' and incorrectly choose Cloud Functions (A) because it is serverless, but they overlook that Cloud Functions is not designed for hosting complete web applications with persistent HTTP routing and automatic scaling in the same way App Engine is.
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
✓
App Engine
App Engine is a fully managed, serverless platform that automatically scales web applications based on traffic. It abstracts away server management, allowing developers to focus solely on writing code, which aligns directly with the requirement to build applications without managing infrastructure.
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 Functions
Why it's wrong here
Cloud Functions is a serverless compute service designed for short-lived, event-driven workloads, not for hosting a persistent web application. It imposes execution timeouts (currently up to 540 seconds) and is triggered by events like Cloud Storage or Pub/Sub, lacking built-in support for long-running requests and traditional session state. Therefore, while serverless, it does not align with building a typical web app that requires continuous request handling.
- ✗
Google Kubernetes Engine
Why it's wrong here
Google Kubernetes Engine (GKE) is a managed Kubernetes service, but it still requires significant cluster management: you must configure node pools, manage autoscaling policies, handle upgrades, and monitor cluster health. Developers also need to define Deployments, Services, and Ingress resources, which adds operational overhead that distracts from focusing on the application code. This is more infrastructure-centric than App Engine, making it less ideal for a team that wants to purely build.
- ✗
Compute Engine
Why it's wrong here
Compute Engine provides Infrastructure-as-a-Service, giving you raw virtual machines that require extensive manual setup and maintenance. You must provision instances, configure load balancers, set up managed instance groups for autoscaling, apply OS patches, and handle high availability yourself. This constant infrastructure management is precisely what the company wants to avoid when migrating to the cloud and focusing on building applications.
- ✓
App Engine
Why this is correct
App Engine is a fully managed Platform-as-a-Service (PaaS) that abstracts away all underlying infrastructure, including servers, networking, and scaling. It automatically scales your web application based on traffic, handles load balancing, and provides built-in health checks, allowing developers to simply deploy code and focus on feature development. This aligns perfectly with a company that wants to migrate to the cloud and prioritize building without operational overhead.
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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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.