SOL-C01 Exam Dumps | You are working with a dataset containing customer purchase information stored in a VARIANT column named

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 141/155

You are working with a dataset containing customer purchase information stored in a VARIANT column named 'PURCHASE DATA. This column contains JSON data with nested arrays and varying schemas. You need to extract all unique product categories purchased by customers who have spent more than $1000 in total. How can you achieve this most efficiently in Snowflake?

Correct Answer: E

Option E provides the most efficient and correct solution. It utilizes for flattening the JSON array, which is more readable than 'LATERAL FLATTEN'. It filters based on 'total_spent' before flattening. The other options are less efficient or incorrect. Option A uses a temporary table which is generally less efficient. Option B does not correlate the CTE with the main table
'CUSTOMERS', hence failing to relate to the customer's total spend. Option C directly refers to without correlation to the customer table and it won't work since FLATTEN on a column requires the tablename as well. D's usage of 'EXPLODE is not standard Snowflake SQL syntax for JSON flattening.

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