A company needs to analyze a large dataset that is stored in Amazon S3 in...

Vendor: Snowflake
Product: MLA-C01
Update on: Nov 1, 2026
Questions: 0

Snowflake MLA-C01 Question Answer

A company needs to analyze a large dataset that is stored in Amazon S3 in Apache Parquet format. The company wants to use one-hot encoding for some of the columns.

The company needs a no-code solution to transform the data. The solution must store the transformed data back to the same S3 bucket for model training.

Which solution will meet these requirements?

Configure an AWS Glue DataBrew project that connects to the data. Use the DataBrew interactive interface to create a recipe that performs the one-hot encoding transformation. Create a job to apply the transformation and write the output back to an S3 bucket.

Use Amazon Athena SQL queries to perform the one-hot encoding transformation.

Use an AWS Glue ETL interactive notebook to perform the transformation.

Use Amazon Redshift Spectrum to perform the transformation.