Cloud Digital Leader Fundamental Cloud Concepts Practice Question
What is a key benefit of using a Platform as a Service (PaaS) offering like App Engine compared to Infrastructure as a Service (IaaS) like Compute Engine?
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
✓
No need to manage the underlying OS or runtime environment
PaaS abstracts away the underlying OS and runtime, so developers only manage their code. IaaS requires managing OS, patches, and middleware. PaaS also typically includes built-in 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.
- ✗
Lower cost for always-on workloads
Why it's wrong here
Although a PaaS can reduce infrastructure management overhead, its pricing typically includes a premium for the managed platform, and for always-on workloads that run 24/7, the metered or per-instance charges often exceed the equivalent cost of an unmanaged IaaS environment. If utilization is constant and predictable, you are effectively paying for management features you do not need. Thus, lower cost for always-on workloads is not a guaranteed benefit.
- ✓
No need to manage the underlying OS or runtime environment
Why this is correct
The defining characteristic of PaaS is that the vendor owns and operates the entire stack below your application code, including the operating system, runtime interpreter, and middleware libraries. You are responsible only for uploading and deploying your application, while the provider handles patching, security, and infrastructure scaling. This abstraction eliminates the operational burden of OS administration, which is why this is considered a key benefit.
- ✗
Full control over the operating system and hardware
Why it's wrong here
With PaaS, the provider retains administrative control over the hosts; consumers have no access to the underlying OS, hypervisor, or physical hardware. This is in direct contrast to IaaS, where you are given virtual machines and full OS-level control. Therefore, the option claiming full control over the operating system and hardware is incorrect for PaaS.
- ✗
Ability to install custom software on the server
Why it's wrong here
PaaS platforms deliver a preconfigured runtime that often restricts what can be installed at the server level. To ensure multi-tenant isolation and predictable operations, providers typically forbid installing OS packages or arbitrary system services, and may even limit which runtime versions or frameworks are supported. Custom software installation is the realm of IaaS, where you control the entire machine.
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
Google Cloud 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.
Key term
App Engine
App Engine is a fully managed serverless platform from Google Cloud that lets developers build and deploy applications without worrying about the underlying infrastructure.
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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.