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You are working with a dataset that contains inconsistencies and missing values. Describe a systematic approach to cleanse this data using AWS services. Include techniques for handling missing values, outliers, and data type inconsistencies.
A
Delete rows with missing values and outliers to simplify the dataset.
B
Use AWS Glue to automate the detection and correction of data inconsistencies.
C
Manually inspect and correct each inconsistency in the dataset.
D
Use Amazon SageMaker to build a model that predicts and fills missing values.
