A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?
To create a SQL user-defined function (UDF) in Databricks, the correct syntax involves using the CREATE FUNCTION statement followed by the definition of the function's parameters, its return type, and the logic implemented in the function body. The correct syntax is exemplified by CREATE FUNCTION <function_name>(<parameter> <parameter_type>) RETURNS <return_type> <body>. The option provided presents a function named custom_logic, which takes a string parameter city, returns a string, and includes sample logic to return the uppercase version of the city. This reflects the proper approach for creating a SQL UDF.
E is wrong, the right answer is A. https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html
The answer E is incorrect. A user defined function is never written as CREATE UDF. The correct way is CREATE FUNCTION. So that leaves us with the choices A and D. Out of that, in D, there is no such thing as RETURN CASE so the correct answer is A.
Both A and D use RETURN CASE
Correct answer is A. It is not E. First, you do not need to specify "UDF" in the syntax. You need to specify the return type and then what you want to return, usually your processed output. CREATE FUNCTION myUDF(udf STRING) RETURNS STRING <...udf....>
A is the right answer. The template to use is the following: CREATE FUNCTION <name_function> (<function_parameter>, ..) RETURNS <return_type> <body>
D, should be the answer. The fucntion is not returning STRING , it is applied on a string column
A -- Create the UDF CREATE FUNCTION custom_logic(city STRING) RETURNS STRING BEGIN -- Custom logic goes here -- Example: Return the uppercase version of the city RETURN UPPER(city); END;
from datetime import datetime current_day = datetime.now().strftime('%A') if current_day == 'Sunday': # Run the final query spark.sql("SELECT ... FROM ... WHERE ...") else: # Handle other scenarios or skip the final query pass
CORRECT ANSWER IS : A https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html
no UDF only FUNCTION needed.
A is correct
First need create a function and then need to register it as UDF
Correct is A
Create Function Return String
Correct answer is A
Correct Answer is A
https://docs.databricks.com/en/udf/index.html#language-sql Answer E is not correct when having CREATE UDF rather than CREATE FUNCTION
A is correct
A is the correct syntax for creating a UDF in Databricks.