AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 132

Question

A company is developing a new ML model that uses the XGBoost algorithm. The company will train the model on data that is stored in an Amazon S3 bucket. The data is in a nested JSON format. An ML engineer needs to convert the JSON files into a tabular format. Which solution will meet this requirement with the LEAST operational overhead?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Create an AWS Glue PySpark job that uses the Relationalize transform to convert the files. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 132