AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 54

Question

A company uses Amazon SageMaker for its ML workloads. The company's ML engineer receives a 50 MB Apache Parquet data file to build a fraud detection model. The file includes several correlated columns that are not required. What should the ML engineer do to drop the unnecessary columns in the file with the LEAST effort?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Create a data flow in SageMaker Data Wrangler. Configure a transform step. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. AWS Config tracks resource configuration changes and evaluates compliance.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 54