Question:
A machine learning (ML) team is building an application that uses data that is in an Amazon S3 bucket. The ML team needs a storage solution for its model training workflow on AWS. The ML team requires high-performance storage that supports frequent access to training datasets. The storage solution must integrate natively with Amazon S3. Which solution will meet these requirements with the LEAST operational overhead?
Options:
A company needs to archive an on-premises relational database. The company wants to retain the data. The company needs to be able to run SQL queries on the archived data to create annual reports. Which solution will meet these requirements with the LEAST operational overhead?
A company is developing a new application that will run on Amazon EC2 instances. The application needs to access multiple AWS services.
The company needs to ensure that the application will not use long-term access keys to access AWS services.
A company runs a production database on Amazon RDS for MySQL. The company wants to upgrade the database version for security compliance reasons. Because the database contains critical data, the company wants a quick solution to upgrade and test functionality without losing any data.
Which solution will meet these requirements with the LEAST operational overhead?