AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 129

A company is using an Amazon S3 bucket to collect data that will be used for ML workflows. The company needs to use AWS Glue DataBrew to clean and normalize the data.

Which solution will meet these requirements?

Answer options

• A. Create a DataBrew dataset by using the S3 path. Clean and normalize the data by using a DataBrew profile job.
• B. Create a DataBrew dataset by using the S3 path. Clean and normalize the data by using a DataBrew recipe job.
• C. Create a DataBrew dataset by using a Java Database Connectivity (JDBC) driver to connect to the S3 bucket. Clean and normalize the data by using a DataBrew profile job.
• D. Create a DataBrew dataset by using a Java Database Connectivity (JDBC) driver to connect to the S3 bucket. Clean and normalize the data by using a DataBrew recipe job.

Correct answer: B

Explanation

Option B is correct because a DataBrew recipe job is specifically designed for cleaning and normalizing data in the context of DataBrew. Options A and C incorrectly suggest using a profile job, which is not suitable for the required tasks. Option D also uses a JDBC driver, which is not necessary for accessing S3 data in this scenario.