A small e-commerce startup is launching a new data analytics platform to track customer behavior. The company has a limited budget for upfront IT hardware investment and a small IT team. They anticipate rapid, unpredictable growth in data volume. Which infrastructure model best meets these requirements?
The correct answer is public cloud. A public cloud model is ideal for this scenario because it operates on a pay-as-you-go basis, converting large upfront capital expenditures (CapEx) for hardware into manageable operational expenditures (OpEx). This model allows the startup to avoid purchasing and maintaining physical servers. Public clouds also offer near-unlimited, on-demand scalability, which is perfect for handling the anticipated rapid and unpredictable growth in data. The cloud provider manages the underlying infrastructure, which is a significant advantage for a company with a small IT team.
An on-premises or private cloud solution would be inappropriate because it requires significant upfront investment in hardware and a dedicated IT staff to manage and maintain it, which contradicts the startup's budget and team size constraints.
A hybrid cloud, which combines public and private infrastructure, introduces management complexity and still implies a private component that requires capital investment, making it less suitable for a new platform at a startup with a limited budget.
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CompTIA Data+ DA0-002 (V2)
Data Concepts and Environments
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