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

Question

Options

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

• A
  6% (2)
• B
  3% (1)
• C
  89% (32)
• D
  3% (1)

Explanation

Stored procedures improve data analysis efficiency precisely because they encapsulate repetitive logic - complex queries, multi-step transformations, or batch operations - so analysts can invoke them with a single call instead of rewriting the same SQL repeatedly, making option C correct. Option A is wrong because UDFs (User-Defined Functions) are designed for inline reuse within queries, not for boosting overall query performance; stored procedures are generally better suited for multi-statement workflows. Option B is backward - stored procedures enhance customization by packaging tailored logic, not hinder it. Option D confuses a security concept with efficiency; while stored procedures can restrict direct table access, that's a security benefit, not the reason they improve data analysis efficiency.

Memory tip: Think of stored procedures as "saved recipes" - you write the recipe once (the repetitive task) and execute it on demand, saving time every subsequent use.

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