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MLA-C01 · Question #233
MLA-C01 Question #233: Real Exam Question with Answer & Explanation
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Data Preparation for Machine Learning
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?
Options
- AUse the Apache Spark-based serverless engine from AWS Glue interactive sessions. Use the
- BUse AWS Glue Data Wrangler within Amazon SageMaker Canvas to detect and remove the PII.
- CUse the Amazon SageMaker Clarify API to detect and mask the PII data.
- DUse the DetectEntities API action in Amazon Comprehend to identify and remove the PII data.
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Topics
#PII detection#Data preprocessing#Big data#AWS Glue