MLA-C01 › Data Preparation for Machine Learning

Data Preparation for Machine Learning Practice Questions

This domain covers getting data into and ready for SageMaker: ingestion from RDS, S3, and other sources; transformation with Data Wrangler, Glue, and Processing jobs; and handling imbalance, duplicates, and mixed feature types. Questions are scenario-based, asking you to pick the right AWS service, format, or built-in transform for a stated constraint.