AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 152

Question

A machine learning (ML) specialist must develop a classification model for a financial services company. A domain expert provides the dataset, which is tabular with 10,000 rows and 1,020 features. During exploratory data analysis, the specialist finds no missing values and a small percentage of duplicate rows. There are correlation scores of > 0.9 for 200 feature pairs. The mean value of each feature is similar to its 50th percentile. Which feature engineering strategy should the ML specialist use with Amazon SageMaker?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Apply dimensionality reduction by using the principal component analysis (PCA) algorithm.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 152