When working with semi-structured data in Snowflake, how do built-in functions for traversing, flattening, and nesting aid in data manipulation?

When working with semi-structured data in Snowflake, how do built-in functions for traversing, flattening, and nesting aid in data manipulation?
A . They only work with specific file formats
B . They facilitate handling complex and nested data structures
C . They limit data transformation possibilities
D . They restrict data access for user roles

View Answer

Answer: B

Explanation:

Built-in functions for semi-structured data in Snowflake simplify handling complex and nested structures, making data manipulation more manageable and enhancing flexibility in data transformation.