Complete the code to create a simple Python UDF in Snowpark that adds 1 to the input.
from snowflake.snowpark.functions import udf @udf def add_one(x): return x [1] 1
The function should add 1 to the input, so the operator is +.
Complete the code to register the UDF with Snowflake using Snowpark session.
session.udf.register(add_one, name=[1], is_permanent=True, replace=True)
The function name must be a string literal, so it needs quotes like 'addOneFunction'.
Fix the error in the UDF definition to handle NULL inputs safely.
from snowflake.snowpark.types import IntegerType @udf(return_type=[1]) def safe_add_one(x): if x is None: return None return x + 1
The input and output are integers, so the return type should be IntegerType().
Fill both blanks to create a UDF that concatenates two strings with a space.
from snowflake.snowpark.types import StringType @udf(return_type=[1]) def concat_with_space(a, b): return a [2] ' ' + b
The function returns a string, so StringType() is correct. The operator to join strings is +.
Fill all three blanks to create a UDF that filters rows where the input number is greater than 10 and returns the number squared.
from snowflake.snowpark.types import IntegerType @udf(return_type=[1]) def filter_and_square(x): if x [2] 10: return x [3] 2 return None
The function returns an integer, so IntegerType() is correct. The condition checks if x > 10. The square uses the exponent operator **.