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AWS Certified Data Engineer - Associate Single choice

A data engineering team needs to clean and normalize a dataset stored in Amazon S3 before loading it into an Amazon Redshift data warehouse. The team wants to profile the data to understand its statistical properties and apply transformations such as handling missing values, standardizing date formats, and removing anomalies. The solution must allow business analysts to visually prepare the data without writing any code. Which AWS service should the team use to meet these requirements?

A AWS Glue DataBrew expand_more

✅ Correct Answer AWS Glue DataBrew is a visual data preparation tool that enables data engineers and analysts to clean, normalize, and profile data without writing code. It provides over 250 pre-built transformations specifically for data preparation tasks.

B AWS Glue Data Quality expand_more

❌ Incorrect AWS Glue Data Quality is used to measure and monitor the quality of data based on defined rules, but it does not provide an interactive visual interface for actively applying transformations and cleaning data.

C Amazon EMR expand_more

❌ Incorrect Amazon EMR is a big data processing platform that requires writing code (such as PySpark or Scala) and does not offer a no-code visual interface designed for business analysts to prepare data.

D AWS Glue Studio expand_more

❌ Incorrect AWS Glue Studio offers a visual interface for creating ETL jobs, but it is focused on data integration and pipeline creation for developers rather than interactive, no-code data profiling and preparation by analysts.

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