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A company hosts a ticketing service on a fleet of Linux Amazon EC2 instances that...

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A company hosts a ticketing service on a fleet of Linux Amazon EC2 instances that are in an Auto Scaling group. The ticketing service uses a pricing file. The pricing file is stored in an Amazon S3 bucket that has S3 Standard storage. A central pricing solution that is hosted by a third party updates the pricing file.

The pricing file is updated every 1–15 minutes and has several thousand line items. The pricing file is downloaded to each EC2 instance when the instance launches.

The EC2 instances occasionally use outdated pricing information that can result in incorrect charges for customers.

Which solution will resolve this problem MOST cost-effectively?

A.

Create an AWS Lambda function to update an Amazon DynamoDB table with new prices each time the pricing file is updated. Update the ticketing service to use DynamoDB to look up pricing.

B.

Create an AWS Lambda function to update an Amazon EFS file share with the pricing file each time the file is updated. Update the ticketing service to use Amazon EFS to access the pricing file.

C.

Load Mountpoint for Amazon S3 onto the AMI of the EC2 instances. Configure Mountpoint for Amazon S3 to mount the S3 bucket that contains the pricing file. Update the ticketing service to point to the mount point and path to access the S3 object.

D.

Create an Amazon EBS volume. Use EBS Multi-Attach to attach the volume to every EC2 instance. When a new EC2 instance launches, configure the new instance to update the pricing file on the EBS volume. Update the ticketing service to point to the new local source.

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