Which of the following cannot be done using AWS Data Pipeline?

Create complex data processing workloads that are fault tolerant, repeatable, and highly available.

Regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to another AWS service.

Generate reports over data that has been stored.

Move data between different AWS compute and storage services as well as on premise data sources at specified intervals.