How do secure views contribute to data analysis practices in terms of access control and data security?

Question

Options

• ASecure views enhance data security while allowing selective data access.
• BThey prevent the creation of materialized views.
• CThey restrict data access but don't impact data security.
• DSecure views limit data accessibility for improved security.

• A
  89% (24)
• B
  7% (2)
• D
  4% (1)

Explanation

Secure views achieve a dual purpose: they enforce granular access control by exposing only specific rows or columns to authorized users, and they protect underlying data by hiding sensitive business logic, schema details, or raw values from those querying the view - making A correct. Option B is wrong because secure views are independent of materialized views; they don't block their creation. Option C incorrectly claims security is unaffected - concealing query definitions and restricting column/row visibility are direct security benefits. Option D is a partial truth that misses the point: limiting access is part of the picture, but the defining value is that security and analytical usability are preserved together, not traded off against each other.

Memory tip: Think of a secure view as a "tinted window" - outsiders see only what you choose to show them (access control), and they can't see through to what's behind it (data security). Both properties coexist, which is exactly what makes option A the complete answer.

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