Snowflake Certification Practice Test

The correct answer is that all of the options provided can extend SQL functionality in different ways. SQL User Functions (UDFs) allow you to define custom functions written in SQL that can handle complex calculations or data transformations, enhancing standard SQL capabilities. This is particularly useful when you want to encapsulate business logic or custom calculations that are not natively supported by basic SQL syntax. Javascript UDFs serve a similar purpose but allow for more complex operations, leveraging the power of JavaScript for scripting and processing logic. This offers flexibility for implementing algorithms or complex data manipulations that might be difficult to achieve with SQL alone. Session Variables can also enhance SQL functionality by providing a way to store temporary values or states that can be referenced throughout the SQL session. This is especially beneficial for applications that need to maintain state information or for scenarios where you want to pass parameters into queries without hardcoding them. By utilizing these different features—SQL UDFs, Javascript UDFs, and Session Variables—users can effectively extend the capabilities of SQL to meet specific business needs or increase the effectiveness of their data processing tasks within Snowflake.