MLS-C01 · Question #384
MLS-C01 Question #384: Real Exam Question with Answer & Explanation
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Question
A data scientist needs to create a model for predictive maintenance. The model will be based on historical data to identify rare anomalies in the data. The historical data is stored in an Amazon S3 bucket. The data scientist needs to use Amazon SageMaker Data Wrangler to ingest the data. The data scientist also needs to perform exploratory data analysis (EDA) to understand the statistical properties of the data. Which solution will meet these requirements with the LEAST amount of compute resources?
Options
- AImport the data by using the None option.
- BImport the data by using the Stratified option.
- CImport the data by using the First K option. Infer the value of K from domain knowledge.
- DImport the data by using the Randomized option. Infer the random size from domain knowledge.
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