Where do I find use cases for each cloud model?

Question

While going through the following training module "MicroSoft Azure Fundamentals: Describe cloud concepts", one of the learning objectives stated that we would, by the end of the course, be able to ... "Identify appropriate use cases for each cloud model".

However, after going through this module, I'm not sure that I can accomplish this. Other than the provided definition of what each model represents, I'm not sure how someone with little to no cloud based knowledge would be able to translate this into a real-world use case.

Did I just miss something in the page associated with this particular topic that spelled this out, or is it just not explicitly stated ( which is how I'm currently reading it ). Any actual use cases for each of the cloud models would be greatly appreciated to help understand this particular topic further.

This question is related to the following Learning Module

Answer 1

Thanks for posting your question in the Microsoft Q&A forum.

let check these examples:

Public Cloud Use Case: A startup company wants to quickly deploy a web application without investing in physical hardware. They use a public cloud provider like Microsoft Azure to host their application, benefiting from the provider's scalable infrastructure and pay-as-you-go pricing.

Private Cloud Use Case: A financial institution requires strict control over their data and compliance with regulatory requirements. They set up a private cloud within their own data center, ensuring that sensitive financial data is stored securely and managed internally.

Hybrid Cloud Use Case: A retail company wants to keep customer data on-premises for security reasons but use cloud services for scalable computing power during peak shopping seasons. They use a hybrid cloud approach, integrating their on-premises infrastructure with a public cloud provider to balance security and scalability.

Multi-Cloud Use Case: An enterprise uses services from multiple cloud providers to avoid vendor lock-in and optimize performance. For example, they might use AWS for storage, Azure for AI and machine learning, and Google Cloud for big data analytics.

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