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Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
A startup development team is building a new customer-facing application and needs an environment where developers can focus solely on writing application code and deploying features quickly.
The team has the following requirements:
Which cloud service model best provides these benefits?
Platform as a Service (PaaS) is a cloud computing delivery model that provides a complete development and deployment environment in the cloud. Under PaaS, the cloud service provider manages the underlying physical infrastructure, networking, virtualization, server hardware, operating systems, and database engines. This allows software teams to build, test, deploy, and manage applications without the complexity and overhead of configuring and maintaining foundational infrastructure.
PaaS strikes the perfect balance for application development teams by removing infrastructure management responsibilities while providing full control over application code and configurations. Compared to managing virtual machines directly or purchasing physical equipment, PaaS dramatically reduces time-to-market and total cost of ownership.
Software as a Service (SaaS) provides complete, centrally hosted end-user applications delivered over the internet on a subscription basis. Examples include Microsoft 365, customer relationship management tools, and email platforms. In the SaaS model, the service provider manages everything, including infrastructure, operating systems, runtime, and the application software itself.
SaaS provides fully functional, turnkey software designed for end consumers or business users, rather than a development platform for engineering teams to write, build, and deploy custom application source code. The team cannot use a SaaS offering to host their proprietary business logic or custom web backends.
The organization wanted to immediately adopt an existing off-the-shelf business application, such as an enterprise email system, collaboration tool, or CRM, without writing any software.
While businesses often build multitenant SaaS applications using PaaS services, purchasing an existing SaaS solution does not fulfill the need of a development team building their own custom software.
Infrastructure as a Service (IaaS) is a cloud service model that provides on-demand access to fundamental computing resources, such as physical or virtual servers, networking, and raw data storage. In this model, the cloud provider manages the physical data center and hardware virtualization, while the customer retains control over the operating system, installed middleware, database engines, and runtime configurations.
While IaaS provides scalability and eliminates physical hardware purchasing, it places the operational burden of infrastructure management on the customer's team. Developers or system administrators must manually configure, update, and patch the operating system, manage security baselines, and configure runtime environments, which increases operational overhead and slows time-to-market.
IaaS would be the right choice if the organization needed complete control over the underlying operating system, custom kernel extensions, specific legacy software that cannot run in modern managed runtimes, or complex custom networking architectures.
IaaS provides the highest level of flexibility among cloud models, but this flexibility comes at the cost of higher operational maintenance, making it less optimal when the primary goal is minimizing management overhead.
An on-premises private cloud is an infrastructure model where computing, storage, and networking resources are deployed, owned, and operated entirely within an organization's private data center or co-location facility for dedicated use by that single organization.
An on-premises deployment introduces the highest operational and capital expenses. The team or internal IT department remains entirely responsible for purchasing physical hardware, maintaining data center cooling and power, provisioning virtualization platforms, patching operating systems, and physically expanding hardware capacity to handle growth.
An organization had strict regulatory, compliance, or data sovereignty requirements mandating that physical hardware and data reside exclusively within on-premises facilities owned and secured by the company.
On-premises environments conflict directly with the startup's goals of eliminating hardware management, scaling dynamically on demand, and achieving faster time-to-market.
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