SOL-C01 Exam Dumps | You are developing a Snowflake Notebook to perform data transformations using Snowpark. As part of the

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 146/155

You are developing a Snowflake Notebook to perform data transformations using Snowpark. As part of the transformation, you need to filter a DataFrame based on a dynamically generated SQL expression. You have a Python dictionary 'filter_conditionS where keys are column names and values are the filter values. You want to construct a SQL 'WHERE clause from this dictionary and apply it to the DataFrame. However, the value types are mixed (strings, integers, dates). Which of the following approaches best handles the various data types and securely constructs the filter expression?

Correct Answer: C

Option C is the best and most secure approach. It leverages Snowpark functions `col' and 'lit' to create the filter conditions. The `col' function represents a column in the DataFrame, and creates a literal value. This avoids SQL injection vulnerabilities and correctly handles different data types because Snowpark handles the data type conversion and quoting appropriately. Using `reduce" and "operator.and_' , we combine all conditions. Options A, B, D and E are all vulnerable to SQL injection because they directly construct the SQL string with user- provided values without proper escaping or parameterization. Additionally, options A, B, D and E have shortcomings for different date types.

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