How do constraints contribute to ensuring data integrity in Snowflake?

Question

Options

• AThey enforce data security measures.
• BConstraints ensure redundant data storage.
• CConstraints restrict data import from external sources.
• DThey impose rules for maintaining data accuracy and consistency.

• A
  4% (1)
• B
  4% (1)
• C
  8% (2)
• D
  85% (22)

Explanation

Constraints in Snowflake (and databases generally) are rules applied to columns or tables that govern what data can be stored - for example, NOT NULL, UNIQUE, PRIMARY KEY, and FOREIGN KEY all enforce conditions that keep data accurate and consistent, making D correct. Option A is wrong because security (authentication, authorization, row-level policies) is handled by separate mechanisms like roles and grants, not constraints. Option B is wrong because constraints have nothing to do with storage redundancy - that's a concept related to replication or clustering. Option C is wrong because data loading from external sources (Snowpipe, COPY INTO) is governed by file format settings and stage definitions, not constraints.

Memory tip: Think of constraints as a bouncer at the database door - they check incoming data against a rulebook (accuracy/consistency rules) before letting it in, which maps directly to "maintaining data accuracy and consistency."

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