A DevOps engineer must implement a solution that immediately terminates Amazon EC2 instances in Auto Scaling groups when cryptocurrency mining activity is detected.
Which solution will meet these requirements with the LEAST development effort?
A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.
All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.
A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.
Which solution will meet these requirements?
A company runs a workload on Amazon EC2 instances. The company needs a control that requires the use of Instance Metadata Service Version 2 (IMDSv2) on all EC2 instances in the AWS account. If an EC2 instance does not prevent the use of Instance Metadata Service Version 1 (IMDSv1), the EC2 instance must be terminated.
Which solution will meet these requirements?
A company runs an application on an Amazon Elastic Container Service (Amazon ECS) service by using the AWS Fargate launch type. The application consumes messages from an Amazon Simple Queue Service (Amazon SQS) queue. The application can take several minutes to process each message from the queue. When the application processes a message, the application reads a file from an Amazon S3 bucket and processes the data in the file. The application writes the processed output to a second S3 bucket. The company uses Amazon CloudWatch Logs to monitor processing errors and to ensure that the application processes messages successfully.
The SQS queue typically receives a low volume of messages. However, occasionally the queue receives higher volumes of messages. A DevOps engineer needs to implement a solution to reduce the processing time of message bursts.
Which solution will meet this requirement in the MOST cost-effective way?