Databricks Certified Machine Learning - Associate
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A data scientist is attempting to use Spark ML for imputing missing values in a PySpark DataFrame named 'features_df'. The goal is to replace missing values in all numeric columns with their respective median values. However, the provided code snippet fails to achieve this. What is the underlying issue with the code?