Cloud Digital Leader Why Cloud Technology Can Transform Business Practice Question
A startup wants to reduce capital expenditure on hardware and scale its application globally with minimal latency. Which cloud deployment model should they choose?
⚠ Common exam trap
GCDL often tests the misconception that hybrid or multi-cloud automatically means 'more scalable' or 'lower latency,' when in fact only public cloud directly addresses CapEx reduction and global reach.
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
✓
Public cloud
The public cloud model eliminates upfront capital expenditure because the provider owns and maintains the hardware, and the customer pays only for consumed resources (OpEx). Global providers like AWS, Azure, and GCP operate regions and edge locations worldwide, allowing applications to be deployed close to users with minimal latency. This directly matches the startup's dual requirement of reduced CapEx and global low-latency scaling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Multi-cloud
Why it's wrong here
Multi-cloud is an architectural strategy that distributes workloads across multiple public cloud providers (e.g., AWS, Azure, Google Cloud) to achieve redundancy, avoid vendor lock-in, or leverage best-of-breed services. While it does outsource infrastructure and thus avoids physical hardware purchases, its primary objective is resilience and flexibility, not CapEx reduction. In fact, managing multiple environments increases operational complexity, egress costs, and security overhead, which can offset financial benefits. Therefore it is not the direct solution to the startup's CapEx reduction goal.
- ✓
Public cloud
Why this is correct
Public cloud computing, exemplified by Google Cloud, provides on-demand compute, storage, and networking via shared, multitenant infrastructure owned and operated by the provider. Customers use a pay-as-you-go model, paying only for metered usage, which converts traditionally capital expenditures (servers, racks, power) into operating expenses. This eliminates upfront hardware procurement, maintenance, and capacity planning, allowing a startup to scale globally with no capital investment. It directly fulfills the requirement to reduce CapEx on hardware.
- ✗
Hybrid cloud
Why it's wrong here
Hybrid cloud combines a private on-premises environment with public cloud services, enabling data and application portability between them. Although this can offload some bursty workloads to the public cloud, the persistent private portion requires the organization to purchase and maintain physical servers, storage, and networking equipment. That unavoidable capital investment means the startup would still incur the CapEx it aims to eliminate. Hence, while offering flexibility, hybrid cloud is not the optimal answer for a pure CapEx reduction strategy.
- ✗
Private cloud
Why it's wrong here
A private cloud delivers dedicated cloud-like services to a single organization, either on-premises or in a hosted environment. On-premises private cloud demands direct capital expenditure for hardware, power, cooling, and data-center space, exactly what the startup wants to avoid. Even a hosted private cloud often carries fixed, reserved pricing that behaves like a capital commitment, rather than a flexible operational expense. Thus, private cloud is fundamentally incompatible with the goal of reducing capital expenditure on hardware.
Go deeper
Related to this question
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Cloud Maturity Model and Readiness Assessment
Key term
CapEx
CapEx (Capital Expenditure) is the money a company spends upfront to buy, build, or improve physical assets like servers, buildings, or equipment, which are then owned and depreciated over time.
Key term
OpEx
Operational Expenditure (OpEx) is the ongoing cost for running a business, like paying for cloud services monthly instead of buying hardware upfront.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.