How do stored procedures contribute to data analysis efficiency in SQL compared to UDFs?

Question

Options

• AThey enable the execution of repetitive tasks, enhancing efficiency.
• BStored procedures allow limited data accessibility for improved security.
• CUDFs enhance query performance more effectively than stored procedures.
• DStored procedures hinder customization in data operations.

• A
  91% (39)
• B
  5% (2)
• C
  2% (1)
• D
  2% (1)

Explanation

Stored procedures boost data analysis efficiency by encapsulating repetitive SQL logic - complex queries, multi-step transformations, or report generation - into a single callable unit, so analysts run one command instead of rewriting the same code repeatedly (A is correct). Option B is wrong because stored procedures don't inherently limit data accessibility; they can actually control it, but that's a security feature, not an efficiency mechanism. Option C inverts the typical relationship: UDFs are designed for scalar or table-valued computations within queries, while stored procedures handle broader workflow automation - neither universally "outperforms" the other, but stored procedures shine at task orchestration. Option D is backward - stored procedures enhance customization by letting developers encapsulate complex, reusable logic tailored to specific business needs.

Memory tip: Think of a stored procedure as a recipe card - you write it once, then anyone in the kitchen can execute the same steps instantly without re-reading the whole cookbook. Efficiency = reuse.

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