You have a Snowflake table 'RAW DATA containing a 'VARIANT column called 'json_data'. This column stores JSON objects representing customer orders. The structure includes a nested array of items within each order. You need to create a flattened table called 'ORDER ITEMS with the following columns: 'order_id', and However, the field is not directly present in the JSON data'. Instead, it needs to be derived by concatenating the 'order_id' with the index (ordinal position) of the item within the 'items' array. The structure looks like this: { "order_id": "ORD-123", "customer_id": "CUST-456", "items": [ { "item_name": "Laptop", "item_price": 1200 }, { "item_name": "Mouse", "item_price": 25 } ] } Which of the following SQL statements correctly creates the 'ORDER ITEMS table?

Correct Answer: E
Option E correctly uses the 'LATERAL FLATTEN' function to unnest the 'items' array. The key is using 'f.seq' (sequence number) provided by 'FLATTEN' function, which is the ordinal position of the item in the array (starting from 1), to create the item_id. It concatenates the order_id with the sequence number to generate a unique item_id. Option A is wrong because row_number is an aggregate function, and needs Group by to execute. Option B uses f.index, which does not exist in the output of Lateral flatten. Options C is correct in most of the parameters, however, 'raw_data' alias is missing, as a result the result will be error. Option D also uses seq, however it adds 1, which changes the index to start from 1, which might be wrong.