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Cloud Digital Leader Practice Question: A team uses Google Workspace (Gmail, Docs,…

A team uses Google Workspace (Gmail, Docs, Sheets) for their daily work. They do not manage any servers or software installation — Google maintains everything. Which cloud service model does Google Workspace represent?

⚠ Common exam trap

The GCDL exam often tests the misconception that any cloud service involving 'platform' or 'infrastructure' terms must be PaaS or IaaS, but the trap here is that Google Workspace is a fully managed application suite, not a platform for building or hosting custom code, so candidates mistakenly select PaaS when they see 'Google' and think of App 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

✓

Software as a Service (SaaS)

Google Workspace is a classic example of Software as a Service (SaaS) because users access applications like Gmail, Docs, and Sheets via a web browser without managing the underlying infrastructure, operating systems, or software installations. Google handles all maintenance, security patching, and uptime, which aligns with the SaaS model where the provider delivers fully functional software over the internet. Unlike IaaS or PaaS, the end-user does not control the runtime environment or deploy custom code on the platform.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Infrastructure as a Service (IaaS)

    Why it's wrong here

    IaaS provides raw virtualized infrastructure units such as compute VMs, block storage, and VPC networks, and the customer retains full responsibility for the guest OS, middleware, and applications. With Google Workspace, users never provision a single instance or install an OS; administrators manage identity and compliance settings rather than patching kernels. The service is consumed as finished web apps rather than as infrastructure primitives that you assemble into an environment.

  • ✗

    Platform as a Service (PaaS)

    Why it's wrong here

    PaaS supplies a managed hosting environment such as runtime, middleware, and build tools where developers deploy custom applications on services like Google App Engine. A Google Workspace user does not write or deploy code; they open browser-based tools such as Gmail and Drive. PaaS abstracts infrastructure but still assumes the customer is developing an application, whereas Workspace is a completed product that you simply consume.

  • ✓

    Software as a Service (SaaS)

    Why this is correct

    SaaS is a licensing and delivery model in which the vendor runs the entire software stack—compute, storage, OS, application code, and updates—and serves it to tenants over the internet. Google Workspace exemplifies this: administrators only configure users, policies, and data retention while Google handles servers, patching, and application availability. Unlike PaaS, there is no code compilation or deployment step; unlike IaaS, there is no OS access; and unlike DBaaS, it is not a purpose-built database offering.

  • ✗

    Database as a Service (DBaaS)

    Why it's wrong here

    DBaaS is a specialized managed service that provides a database engine such as Cloud SQL, Spanner, or Firestore, handling backups, replication, scaling, and query access without you self-managing a database server. Google Workspace is a collaboration and productivity suite that stores user content like mail, documents, and chat behind its own proprietary systems, but it does not expose SQL or a general-purpose data API. Thus, although Workspace uses storage internally, it cannot be categorized as a database service.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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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.