A company is enhancing the security of its AWS environment, where the company stores a significant amount of sensitive customer data. The company needs a solution that automatically identifies and classifies sensitive data that is stored in multiple Amazon S3 buckets. The solution must automatically respond to data breaches and alert the company's security team through email immediately when noncompliant data is found.
Which solution will meet these requirements?
A company is testing an application that runs on an Amazon EC2 Linux instance. A single 500 GB Amazon Elastic Block Store (Amazon EBS) General Purpose SSD (gp2) volume is attached to the EC2 instance.
The company will deploy the application on multiple EC2 instances in an Auto Scaling group. All instances require access to the data that is stored in the EBS volume. The company needs a highly available and resilient solution that does not introduce significant changes to the application's code.
Which solution will meet these requirements?
A company runs an on-premises application on a Kubernetes cluster. The company recently added millions of new customers. The company's existing on-premises infrastructure is unable to handle the large number of new customers. The company needs to migrate the on-premises application to the AWS Cloud.
The company will migrate to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company does not want to manage the underlying compute infrastructure for the new architecture on AWS.
Which solution will meet these requirements with the LEAST operational overhead?
How can DynamoDB data be made available for long-term analytics with minimal operational overhead?
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