How can stored procedures be beneficial in data analysis using SQL?

Question

Options

• AStored procedures are limited to read-only operations.
• BStored procedures can't be used in conjunction with UDFs.
• CThey allow execution of repetitive tasks, enhancing data analysis efficiency.
• DStored procedures cannot handle large data sets effectively.

• B
  6% (2)
• C
  91% (32)
• D
  3% (1)

Explanation

Stored procedures are precompiled SQL code blocks stored in the database that can be called repeatedly, making them ideal for automating repetitive data analysis tasks like generating reports, transforming data, or running complex multi-step queries - which is exactly why C is correct. Option A is wrong because stored procedures support full DML operations (INSERT, UPDATE, DELETE), not just reads. Option B is incorrect since stored procedures can absolutely call User-Defined Functions (UDFs) within their body, and the two are often used together to modularize logic. Option D is false - stored procedures are commonly used precisely because they handle large datasets efficiently through server-side execution, reducing network overhead.

Memory tip: Think of a stored procedure as a recipe saved in the kitchen - you write it once, then any chef (or application) can execute the same complex set of steps on demand without rewriting them, saving time and ensuring consistency.

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