SPS-C01 Exam Dumps | You are working with a Snowpark DataFrame 'df that contains user profile data'. A column named 'profile'

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Question 129/151

You are working with a Snowpark DataFrame 'df that contains user profile data'. A column named 'profile' stores user information as JSON, including 'age' (which can be a number or a string), 'is active' (which can be a boolean or a string 'true'/'false'), and registration date' (stored as a string in 'YYYY-MM-DD' format). You need to perform the following data transformations: 1. Cast the 'age' to an integer, defaulting to -1 if casting fails. 2. Cast 'is active' to a boolean, treating 'true' (case-insensitive) as true and any other string as false. 3. Convert 'registration_date' to a date object. Select the code snippets (multiple answers can be correct) that correctly accomplish these tasks using Snowpark DataFrame transformations.

Correct Answer: A,D

Options A and D are both correct. Option A : Uses lit(-l for handling age casting failures. This is good because it can handle errors and provides null safe casting. try to cast to a number, and if it fails, return null, then coalesce use -1 instead. Option A : Correctly converts to a boolean using 'when' and 'lower' for case-insensitive matching. If it's the string 'true', returns 'true'. Otherwise, returns 'false'. Option A : Uses 'to_date' for 'registration_date' since the column stores date. Option D is not supported. It should be 'is_number' for the age field. Option D : Correctly converts to a boolean using 'when' and 'lower' for case-insensitive matching. If it's the string 'true , returns 'true. Otherwise, returns 'false. Option D : Uses 'to_date' for 'registration_date' since the column stores date. Option B 'try_cast' does not exist in Snowpark. Option C 'Trye' is never equal to 'True'. Option E: The 'registration_date' needs to be converted with 'to date' and not 'to_timestamp'.

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