A company is developing machine learning (ML) models.

Create an AWS Lambda function to check data quality and to raise exceptions in the code.

Create an AWS Glue DataBrew project for the data in the S3 bucket. Create a ruleset for the data quality rules. Create a profile job to run the data quality rules. Use Amazon EventBridge to run the profile job when data is added to the S3 bucket.

Create an Amazon EMR provisioned cluster. Add a Python data quality package.

Create AWS Lambda functions to evaluate data quality rules and orchestrate with AWS Step Functions.