What is SERVERLESS computing in AWS analytics tools?

What is SERVERLESS computing in AWS analytics tools?

• A. A framework for managing virtual machines
• B. A model that allows running applications without managing servers
• C. A platform for developing traditional applications with set infrastructure
• D. A service that requires dedicated hardware resources

Answer: (B)

Serverless computing in AWS analytics tools refers to a model that allows users to run applications without the need to manage the underlying server infrastructure. This eliminates the complexity of provisioning and maintaining servers, enabling developers and data analysts to focus more on the development and deployment of applications and less on the operational aspects of server management. In this model, resources are automatically scaled based on the actual usage, meaning users only pay for the computing resources they consume. AWS services such as AWS Lambda exemplify this serverless approach, allowing functions to run in response to events without the user having to manage any servers. This model contrasts with the other options presented. Managing virtual machines or requiring dedicated hardware resources involves a level of server management that serverless computing seeks to abstract away. Additionally, traditional application platforms typically come with predefined infrastructure requirements that serverless computing, by design, does not impose. Thus, the correct choice effectively captures the essence of serverless computing in the context of AWS analytics tools.

Serverless computing in AWS analytics tools refers to a model that allows users to run applications without the need to manage the underlying server infrastructure. This eliminates the complexity of provisioning and maintaining servers, enabling developers and data analysts to focus more on the development and deployment of applications and less on the operational aspects of server management.

In this model, resources are automatically scaled based on the actual usage, meaning users only pay for the computing resources they consume. AWS services such as AWS Lambda exemplify this serverless approach, allowing functions to run in response to events without the user having to manage any servers.

This model contrasts with the other options presented. Managing virtual machines or requiring dedicated hardware resources involves a level of server management that serverless computing seeks to abstract away. Additionally, traditional application platforms typically come with predefined infrastructure requirements that serverless computing, by design, does not impose. Thus, the correct choice effectively captures the essence of serverless computing in the context of AWS analytics tools.