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MLA-C01 · Question #181
MLA-C01 Question #181: Real Exam Question with Answer & Explanation
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Data Preparation for Machine Learning
Question
An ML engineer wants to use Amazon SageMaker AI to prepare data for training. During exploratory data analysis, the ML engineer notices that several categorical features are missing values. How can the ML engineer use SageMaker AI to solve this problem?
Options
- AUse SageMaker Clarify to impute categorical features with the mean value.
- BUse SageMaker Clarity to impute categorical features with the mode value.
- CUse SageMaker Data Wrangler to impute categorical features with the mean value.
- DUse SageMaker Data Wrangler to impute categorical features with the mode value.
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Topics
#SageMaker Data Wrangler#Data Preprocessing#Missing Value Imputation#Categorical Features