A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end- to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS.
Which approach should the Specialist use for training a model using that data?
- A.Write a direct connection to the SQL database within the notebook and pull data in
- B.Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.
- C.Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in.
- D.Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.