AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 287

Question

A data engineer is evaluating customer data in Amazon SageMaker Data Wrangler. The data engineer will use the customer data to create a new model to predict customer behavior. The engineer needs to increase the model performance by checking for multicollinearity in the dataset. Which steps can the data engineer take to accomplish this with the LEAST operational effort? (Choose two.)

Accepted Answer

Correct answer: B, E. The correct answer is B, E. Option B: Use SageMaker Data Wrangler diagnostic visualization. Use principal components analysis (PCA) and singular value decomposition (SVD) to calculate singular values. Option E: Use SageMaker Data Wrangler diagnostic visualization. Use least absolute shrinkage and selection operator (LASSO) to plot coefficient values from a LASSO model that is trained on the dataset. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 287