How do constraints contribute to ensuring data integrity in Snowflake?

Question

Options

• AConstraints enforce data uniqueness only.
• BConstraints solely control data deletion.
• CThey limit data access for users.
• DConstraints ensure data consistency and accuracy.

• A
  3% (1)
• B
  3% (1)
• D
  94% (30)

Explanation

Constraints in Snowflake are rules applied to columns or tables that enforce data consistency and accuracy - for example, NOT NULL, UNIQUE, PRIMARY KEY, and FOREIGN KEY constraints prevent invalid or inconsistent data from entering the system, making D correct.

A is wrong because constraints do far more than enforce uniqueness - NOT NULL prevents missing values, FOREIGN KEY enforces referential integrity, and CHECK constraints validate value ranges. B is wrong because constraints have nothing to do with deletion control - that falls under access control policies and DML permissions. C is wrong because limiting user access is the role of role-based access control (RBAC) and grants, not constraints.

Memory tip: Think of constraints as data rules baked into the schema itself - they guard the quality and relationships of data at the structure level, not the security or deletion level.

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