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

Question

Options

• AThey restrict data accessibility for security purposes.
• BThey only facilitate basic data summarization.
• CStored procedures can't be used with UDFs.
• DStored procedures enable custom and repetitive data operations, enhancing efficiency.

• A
  8% (3)
• B
  5% (2)
• C
  3% (1)
• D
  85% (34)

Explanation

Option D is correct because stored procedures are precompiled, named SQL routines stored in the database that encapsulate complex or repetitive logic - they can include joins, aggregations, conditionals, and loops, making them powerful tools for reusable, efficient data analysis workflows.

Why the distractors are wrong:

• A is wrong because stored procedures are primarily about reusability and performance, not restricting access (though permissions can be layered on top).
• B is wrong because stored procedures far exceed basic summarization - they can execute multi-step transformations, call other procedures, and integrate business logic.
• C is wrong because stored procedures can call User-Defined Functions (UDFs); they work together to extend SQL's capabilities.

Memory tip: Think of a stored procedure as a saved recipe - instead of retyping every ingredient and step each time, you call the recipe by name. The "efficiency" comes from writing complex logic once and executing it repeatedly without rewriting it.

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