MLA-C01 · Question #197
MLA-C01 Question #197: Real Exam Question with Answer & Explanation
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Question
An ML engineer wants to use Amazon SageMaker Data Wrangler to perform preprocessing on a dataset. The ML engineer wants to use the processed dataset to train a classification model. During preprocessing, the ML engineer notices that a text feature has a range of thousands of values that differ only by spelling errors. The ML engineer needs to apply an encoding method so that after preprocessing is complete, the text feature can be used to train the model. Which solution will meet these requirements?
Options
- APerform ordinal encoding to represent categories of the feature.
- BPerform similarity encoding to represent categories of the feature.
- CPerform one-hot encoding to represent categories of the feature.
- DPerform target encoding to represent categories of the feature.
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