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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.
An organization is planning to migrate an internal line-of-business web application to Azure. The IT management team establishes the following operational requirements:
Which cloud service model should the organization choose to minimize operational overhead while fulfilling these requirements?
Infrastructure as a Service (IaaS) is a cloud computing model where the cloud service provider delivers fundamental computing, storage, and networking resources on demand over the internet. In an IaaS model, the customer rents virtual machines (VMs) and networking infrastructure.
While IaaS removes the burden of managing physical data centers and hardware, it introduces substantial operational overhead for the customer:
This option would be correct if the organization required custom kernel modifications, legacy OS versions unsupported by managed platforms, or administrative access to the underlying operating system environment.
In the shared responsibility model, IaaS provides the highest level of customer control among cloud models, but this control comes with the trade-off of higher day-to-day administrative and maintenance effort.
An on-premises private cloud is a computing deployment located within an organization's own data center, where all computing, networking, and storage resources are dedicated exclusively to that single enterprise.
An on-premises deployment represents the highest possible level of operational overhead because the customer assumes 100% of the responsibility across all layers of the technology stack:
The organization had strict regulatory mandates requiring physical custody of hardware, lacked internet connectivity, or chose not to migrate any workloads to a public cloud provider.
The shared responsibility model does not apply to traditional on-premises infrastructure because no responsibilities are shared; the customer owns every operational and security domain from physical security up to data governance.
Software as a Service (SaaS) delivers complete, fully functional software applications over the internet on a subscription basis. Examples include Microsoft 365, Salesforce, and Dynamics 365, where end users interact directly with ready-to-use software.
In a SaaS solution, the service provider manages almost the entire technology stack, leaving very little technical control to the customer:
The organization wanted to replace an in-house tool entirely with an off-the-shelf, vendor-managed application (such as adopting an existing enterprise email or CRM solution) without writing or deploying custom code.
While SaaS minimizes administrative overhead more than any other cloud model, it shifts the responsibility of application logic and source code entirely to the vendor, preventing custom application hosting.
Platform as a Service (PaaS) provides a complete cloud environment that includes infrastructure, operating systems, development tools, database management systems, and business analytics. In a PaaS deployment, the cloud provider manages the underlying infrastructure and software stack, enabling developers to focus exclusively on creating, testing, and deploying custom software.
Under the shared responsibility model, PaaS transfers the operational overhead of the physical environment, operating system maintenance, and runtime framework patching to the cloud provider:
PaaS delivers the ideal operational balance for this scenario. It eliminates lower-level operational duties such as OS patching and runtime maintenance (which would be required in IaaS) while still providing the development team with the necessary control to host and configure their own custom code (which is not possible in SaaS).
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