You have been tasked with deploying a solution for your company that will store images, which the marketing department will use for its campaigns. Employees are able to upload images via a web interface, and once uploaded, each image must be resized and watermarked with the company logo. Image resize and watermark is not time-sensitive and can be completed days after upload if required. How should you design this solution in the most highly available and cost-effective way?

A. Configure your web application to upload images to the Amazon Elastic Transcoder service. Use the Amazon Elastic Transcoder watermark feature to add the company logo as a watermark on your images and then to upload the final images into an Amazon S3 bucket.
B. Configure your web application to upload images to Amazon S3, and send the Amazon S3 bucket URI to an Amazon SQS queue. Create an Auto Scaling group and configure it to use Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the SQS queue for new images and then resize and watermark the image before uploading the final images into Amazon S3.
C. Configure your web application to upload images to Amazon S3, and send the S3 object URI to an Amazon SQS queue. Create an Auto Scaling launch configuration that uses Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the Amazon SQS queue for new images and then resize and watermark the image before uploading the new images into Amazon S3 and deleting the message from the Amazon SQS queue.
D. Configure your web application to upload images to the local storage of the web server. Create a cronjob to execute a script daily that scans this directory for new files and then uses the Amazon EC2 Service API to launch 10 new Amazon EC2 instances, which will resize and watermark the images daily.