SPS-C01 Exam Dumps | You have a Snowflake table 'user_profiles' with a VARIANT column 'profile

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Snowflake.SPS-C01.v2026-08-07.q151
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Question 28/151

You have a Snowflake table 'user_profiles' with a VARIANT column 'profile_data'. This column contains JSON objects, and one of the fields within these objects is an array called 'interests'. The 'interests' array contains JSON objects, each with 'name' and 'category' fields. You need to use Snowpark to flatten the 'interests' array and extract the 'name' and 'category' for all user profiles, but only for profiles where the user's 'status' is 'active'. You want to write this in the most efficient way possible. Which of the following code snippets will achieve this?

Correct Answer: E

Option E is the most efficient. Filtering the data frame for 'active' profiles before exploding the 'interests' array reduces the number of rows the explode function needs to process, thus minimizing the computational load and optimizing query performance. Options A and B performs explodes first and then filters and hence, not very performant. D is not valid syntax for Snowpark. C selects the data first but the performnace is not at par with E.

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