Amazon
DEA-C01 · Question #276
A company is developing machine learning (ML) models. A data engineer needs to apply data quality rules to training data. The company stores the training data in an Amazon S3 bucket. Which solution wi
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Data Ingestion and Transformation
Question
A company is developing machine learning (ML) models. A data engineer needs to apply data quality rules to training data. The company stores the training data in an Amazon S3 bucket. Which solution will meet these requirements with the LEAST operational overhead?
Options
- ACreate an AWS Lambda function to check data quality and to raise exceptions in the code. Run
- BCreate an AWS Glue DataBrew project for the data in the S3 bucket. Create a ruleset for the data
- CCreate an Amazon EMR provisioned cluster. Add a Python open source data quality package to
- DCreate AWS Lambda functions to evaluate data quality rules. Use AWS Step Functions to
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Topics
#Data Quality#AWS Glue DataBrew#Managed Services#Operational Overhead