MLS-C01 · Question #314
MLS-C01 Question #314: Real Exam Question with Answer & Explanation
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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.)
Options
- AUse SageMaker Data Wrangler to refit and transform the dataset by applying one-hot encoding to
- BUse SageMaker Data Wrangler diagnostic visualization. Use principal components analysis
- CUse the SageMaker Data Wrangler Quick Model visualization to quickly evaluate the dataset and
- DUse the SageMaker Data Wrangler Min Max Scaler transform to normalize the data.
- EUse SageMaker Data Wrangler diagnostic visualization. Use least absolute shrinkage and
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