How do user-defined functions (UDFs) contribute to data analysis in SQL?

Question

Options

• AThey allow customization and extension of SQL functionalities for specific data operations.
• BUDFs restrict data analysis to predefined operations.
• CUDFs can only be used with materialized views.
• DUDFs hinder query optimization.

• A
  89% (25)
• B
  4% (1)
• C
  7% (2)

Explanation

UDFs are correct in option A because they let developers encapsulate custom logic - such as complex calculations, string transformations, or business rules - into reusable SQL functions, extending what SQL can do beyond its built-in capabilities. Option B is the opposite of reality: UDFs expand analysis possibilities rather than restrict them. Option C is false because UDFs can be called in regular queries, stored procedures, views, and more - they are not limited to materialized views. Option D is a misconception; while poorly written UDFs can impact performance, UDFs themselves are a tool for enabling optimization and reuse, not inherently hindering it.

Memory tip: Think of UDFs as "SQL plugins" - just as browser plugins add custom features beyond the browser's defaults, UDFs add custom functionality beyond SQL's built-in functions.

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