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A JSON file, that contains lots of dates and arrays, needs to be processed in Snowflake. The user wants to ensure optimal performance while querying the data. How can this be achieved?
Correct Answer: B
Storing JSON data in a table with a VARIANT data type is optimal for querying because it allows Snowflake to leverage its semi-structured data capabilities. This approach enables efficient storage and querying without the need for flattening the data, which can be performance-intensive1.