When referring to User-Defined Function (UDF) names in Snowflake, what does the term overloading mean?

Question

Options

• AThere are multiple SOL UDFs with the same names and the same number of arguments.
• BThere are multiple SQL UDFs with the same names and the same number of argument types.
• CThere are multiple SQL UDFs with the same names but with a different number of arguments or
• DThere are multiple SQL UDFs with different names but the same number of arguments or

• A
  5% (2)
• B
  3% (1)
• C
  92% (36)

Explanation

In Snowflake, UDF overloading means multiple SQL UDFs share the same name but differ in their signatures - either in the number of arguments or the data types of those arguments. Snowflake resolves which UDF to execute at runtime by matching the call's argument count and types against the available overloaded definitions. This is identical to function overloading in languages like Java or Python. Options A and B describe scenarios where both the name AND the argument count/types are the same, which would be a conflict, not overloading. Option D describes different names, which is simply distinct functions, not overloading.

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