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 restrict data access but don't impact data security.
• CThey prevent the creation of materialized views.
• DSecure views limit data accessibility for improved security.

• A
  89% (47)
• B
  2% (1)
• C
  2% (1)
• D
  8% (4)

Explanation

Secure views are database objects that hide underlying query logic from users while still allowing them to query the results, striking the balance captured in option A - they simultaneously enforce access control (who sees what data) and protect sensitive implementation details (how that data is derived), making both security and selective access core features, not trade-offs.

Option B is wrong because secure views directly do impact data security - that's their primary purpose; hiding the view definition prevents unauthorized users from reverse-engineering sensitive business logic or discovering column names/filters. Option C is a fabrication; secure views have no relationship to materialized views and don't prevent their creation. Option D is a partial truth that makes it a trap - while secure views do limit accessibility, framing it as the only benefit misses the equally important security hardening aspect, making A the more complete and accurate answer.

Memory tip: Think of a secure view as a one-way mirror - analysts see clean, curated data (selective access), but the underlying logic and schema stay hidden from view (data security). Both sides of the mirror matter, so only option A captures the full picture.

No community discussion yet for this question.