AWS Computing Elasticity

Answer - C.

AWS EC2 Auto Scaling Group achieves the computing elasticity by scaling up/down the EC2 instances based on demand.

For more information on the AWS Autoscaling service, please refer to the below URL:

The correct answer is C. AWS EC2 Auto Scaling Group.

Explanation:

Elasticity is the ability to scale resources up or down in response to changing workload demands. AWS EC2 Auto Scaling Group is a service that helps achieve elasticity in AWS by automatically adjusting the number of Amazon Elastic Compute Cloud (EC2) instances in response to changes in demand for your application. EC2 Auto Scaling Group allows you to set up a group of EC2 instances that work together to handle incoming traffic.

When traffic increases, EC2 Auto Scaling Group can launch additional EC2 instances to handle the extra load. When traffic decreases, EC2 Auto Scaling Group can terminate the unnecessary instances to save costs. This automatic adjustment of resources ensures that your application is always running smoothly and cost-effectively.

AWS RDS is a managed relational database service that helps you set up, operate, and scale a relational database in the cloud. It provides scalability and high availability for your database, but it does not help achieve computing elasticity.

VPC Endpoint is a service that enables private connectivity between a VPC and supported AWS services. It helps to secure communication between your VPC and AWS services but it does not contribute to computing elasticity.

Amazon S3 is an object storage service that provides scalable storage for data backup, archival, and analytics. It provides high durability, availability, and performance for your data, but it does not help achieve computing elasticity.

In conclusion, the correct service that helps achieve computing elasticity in AWS is AWS EC2 Auto Scaling Group.