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You have a DataFrame 'df in Snowpark containing order data, including a VARIANT column named 'order details'. The 'order detailS column contains a nested JSON structure with fields like 'customer id' (always a string), 'items' (an array of item IDs, sometimes numbers, sometimes strings), and 'total amount' (inconsistent data type - sometimes string, sometimes number). You need to perform the following transformations: 1. Extract the "customer_id' and cast it to an integer. 2. Extract the first item ID from the 'items' array, attempting to cast it to an integer, handling potential casting errors. 3. Extract the 'total_amount' and cast it to a decimal (precision 10, scale 2), handling potential casting errors. Which of the following code snippets correctly implements these transformations using Snowpark?
Correct Answer: D
Option D correctly implements the required transformations: Since 'customer_id' is always a string, but should be converted to Integer, we can directly cast. is used for to handle cases where the item ID might not be a valid number. 10, is used for 'total_amount' to handle potential casting errors and to cast as decimal with precision 10 and scale 2 Options A, B, C, and E will fail when the values are incorrect data types, they do not perform handle exceptions.