AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 218

Question

An ML engineer needs to build a processing pipeline to identify and remove personally identifiable information (PII) from petabytes of unstructured data. The ML engineer will use the processed data to train ML models in Amazon SageMaker AI. Which solution will meet these requirements?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Use the Apache Spark-based serverless engine from AWS Glue interactive sessions. Use the Detect PII transform feature to identify and remove the PII data. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 218