MLS-C01 · Question #306
MLS-C01 Question #306: Real Exam Question with Answer & Explanation
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Question
A data science team is working with a tabular dataset that the team stores in Amazon S3. The team wants to experiment with different feature transformations such as categorical feature encoding. Then the team wants to visualize the resulting distribution of the dataset. After the team finds an appropriate set of feature transformations, the team wants to automate the workflow for feature transformations. Which solution will meet these requirements with the MOST operational efficiency?
Options
- AUse Amazon SageMaker Data Wrangler preconfigured transformations to explore feature
- BUse an Amazon SageMaker notebook instance to experiment with different feature
- CUse AWS Glue Studio with custom code to experiment with different feature transformations.
- DUse Amazon SageMaker Data Wrangler preconfigured transformations to experiment with
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