machine-learning video for a financial services company uses Amazon Redshift ML in its AWS account to create predictive models for credit risk analysis. The
A financial services company uses Amazon Redshift ML in its AWS account to create predictive models for credit risk analysis. The training data, containing sensitive financial records, is stored in an Amazon S3 bucket in a secondary AWS account. The company must ensure that Redshift ML can securely access the training data without exposing it over public internet routes and maintain strict compliance with data protection regulations. What is the most secure and efficient solution?