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Guide to Serverless Computing

What is Serverless Computing?
Serverless Computing is a computing framework where developers don’t have to worry about the machines on which their code is running. It enables developers to focus on writing their applications and the cloud provider manages the rest.

Why is Serverless Computing Important?
Serverless Computing simplifies development process by removing the need to manage infrastructcure. It increases productivity, and allows faster time to market for applications. It also optimizes costs as you only pay for the compute power used.

How it Works
In Serverless Computing, the cloud provider dynamically manages the allocation of machine resources. The applications are broken down to functions, which run on demand, enabling efficient use of resources.

Exam Tips: Answering Questions on Serverless Computing
-Understand the basic concept of serverless computing and its benefits.
-Know the difference between serverless computing and traditional cloud computing.
-Remember that with serverless computing, you only pay for the compute power used, not for the infrastructure.
-Note that being 'serverless' doesn't mean there are no servers. It means the developers don't need to worry about the servers as they are managed by the cloud provider.
-Be aware of use cases where serverless computing can be beneficial.
-Understand the role of FaaS (Functions-as-a-Service) in serverless computing.
Note: It's crucial to offer precise and accurate information when answering questions about Serverless Computing in exams.

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Serverless Computing practice test

Serverless computing is a cloud-based execution model that dynamically allocates resources as needed, allowing developers to build and run applications without managing servers. Serverless does not mean that there are no servers involved, but rather that the responsibility of managing servers is abstracted away from the developer. The cloud provider automatically manages the infrastructure, scaling, and patching, while the developer focuses on writing application logic. Users are charged based on actual usage, instead of pre-allocated resources. Applications built with serverless computing are typically event-driven, responding to triggers like user requests, file uploads, or database operations. Examples of serverless computing platforms include AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions.

Time: 5 minutes   Questions: 5

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