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Answer: All of the above
Azure Machine Learning provides various feature engineering techniques to help improve the performance of AI models. These techniques include data normalization and scaling (A), handling missing values and outliers (B), and feature selection and extraction (C). Therefore, the correct answer is D, all of the above.
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You are developing an AI model using Azure Machine Learning and need to perform feature engineering to improve the model's performance. Which of the following techniques can be used for feature engineering in Azure Machine Learning?
A
Data normalization and scaling.
B
Handling missing values and outliers.
C
Feature selection and extraction.
D
All of the above
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