An ecommerce company must run a scheduled daily job that aggregates and filters sales records for analytics. The sales records are stored in an Amazon S3 bucket; each object can be up to 10 GB. Depending on volume, the job can take up to an hour. CPU and memory usage are constant and known in advance. A solutions architect needs to minimize operational effort required to run the job. Which solution meets these requirements?

The correct solution leverages AWS Fargate for its serverless container capabilities, minimizing operational effort. Fargate eliminates the need to manage EC2 instances, aligning with the requirement for low operational overhead. The job's duration (up to an hour) and potential 10 GB object size are well within Fargate's capabilities. EventBridge reliably schedules the daily task. AWS Lambda is unsuitable because its maximum execution time is 15 minutes, which is less than the job's potential one-hour duration. Integrating Lambda with API Gateway doesn't circumvent this limitation. Using Amazon ECS with the EC2 launch type would require managing EC2 instances, increasing operational effort, which contradicts the problem statement's goal.