A company is utilizing a fleet of Amazon EC2 t2.micro instances to execute a web-crawling process aimed at gathering training documents for machine learning algorithms. These instances retrieve target URLs from an Amazon Simple Queue Service (Amazon SQS) queue and subsequently write the outcomes of the crawling operation into a .csv file stored on an Amazon Elastic File System (Amazon EFS) volume, which is shared across all instances in the fleet. The addition of URLs to the SQS queue is sporadic, and each URL is processed within a 10-second timeframe. Monitoring data reveals that certain instances remain inactive when the SQS queue is empty. To enhance cost efficiency, a solutions architect is tasked with revising the architecture. Which two actions will most effectively and economically address these requirements?