DP-100 · Question #84
DP-100 Question #84: Real Exam Question with Answer & Explanation
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Question
You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data. You need to select a data cleaning method. Which method should you use?
Options
- ASynthetic Minority Oversampling Technique (SMOTE)
- BReplace using MICE
- CReplace using; Probabilistic PCA
- DNormalization
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