A company is migrating its data processing application to AWS. The application runs several short-lived batch jobs that must not be disrupted. Data is generated after each batch job completes. The data is actively accessed for 30 days and then retained for 2 years. The company wants to minimize cloud costs. Which solution meets these requirements?

The correct solution uses EC2 On-Demand Instances because the batch jobs "must not be disrupted," and Spot Instances are interruptible. S3 Standard is appropriate for data actively accessed for 30 days due to its high availability and low latency. After 30 days, the data is retained for 2 years with infrequent access, making S3 Glacier Deep Archive a cost-effective choice for long-term archival. An expiration policy ensures data deletion after 2 years, aligning with retention requirements. Incorrect options: Using EC2 Spot Instances is unsuitable for jobs that "must not be disrupted." S3 Glacier Instant Retrieval is more expensive than Deep Archive for data retained for 2 years with minimal access. EC2 On-Demand is correct, but storing actively accessed data directly in S3 Glacier Instant Retrieval would incur higher access costs and latency than S3 Standard. S3 Glacier Deep Archive is suitable for long-term retention, but not for the initial 30-day active access period. EC2 Spot Instances are incorrect due to the non-disruption requirement. S3 Glacier Flexible Retrieval is more expensive than Deep Archive for data retained for 2 years with minimal access.