DEA-C02 Exam Dumps | You have a requirement to create a UDF in Snowflake that transforms data based on a complex set of rules

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Question 29/149

You have a requirement to create a UDF in Snowflake that transforms data based on a complex set of rules defined in an external Python library. The library requires specific dependencies. You also need to ensure the UDF is secure and that the code is not visible to unauthorized users. Which of the following steps MUST be taken to achieve this?

A. Create a Snowflake Anaconda environment specifying the required Python library dependencies. Then, create a Python UDF, reference the Anaconda environment, and use the 'SECURE' keyword.

B. Upload the Python library and its dependencies as internal stages. Create a Java UDF that executes the Python code using the 'ProcessBuilder' class. Mark the Java UDF as 'SECURE'

C. Create a Python UDF and directly upload the Python library code into the UDF's body. Snowflake automatically manages dependencies for UDFs.

D. Create an external function pointing to an AWS Lambda function or Azure Function that hosts the Python code and its dependencies. Secure the external function using API integration and role-based access control.

E. Package all the Python libaries code into one file, then create an Javascript UDF and load/execute the python code inside the Javascript UDF.

Correct Answer: A

Using Snowflake Anaconda environments allows you to manage Python dependencies for UDFs. Creating a Python UDF referencing the environment and using the 'SECURE keyword ensures both dependency management and code protection. Uploading libraries as internal stages and using Java UDFs is an unnecessarily complex approach. Snowflake does not automatically manage dependencies; they must be explicitly specified through Anaconda. Creating a Python inside a Javascript UDF is not a supported pattern

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