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You are working with Snowpark and a DataFrame named 'orders df that contains order data, including a column named 'items' which is a VARIANT type and holds an array of JSON objects, where each object represents an item in the order. You need to explode this array into separate rows, extracting the 'item_id' and 'quantity' for each item. Which of the following Snowpark snippets correctly performs this transformation AND handles potential NULL or empty arrays in the 'items' column?
Correct Answer: E
Option E is the most robust. It explicitly handles NULL or empty arrays in the 'items' column by replacing them with an empty array before exploding. This prevents errors during the explode operation. The other options will fail if the array is NULL because you cannot explode a NULL array. Additionally the items column need to be dropped after explode, so it won't be there in the last query. Column 'col' created by expload function must be used to extract the 'item_id' and 'quantity' values.