Answer: VARIANT ג€nullג€ values are not the same as SQL NULL values, It is recommended to validate the data before loading into the Snowflake target table, It is recommended to use staging tables to manage MERGE statements

The question requires selecting three true statements about Snowflake data loading. Option A is correct because VARIANT 'null' values in semi-structured data (like JSON) are distinct from SQL NULL values - JSON null is a valid value while SQL NULL represents absence of data. Option C is correct as data validation before loading ensures data quality and prevents errors in the target table. Option D is correct because staging tables help manage MERGE operations efficiently by preparing and validating data first. Option B is incorrect because Snowflake is optimized for bulk operations, not frequent single-row DMLs, which go against its columnar architecture and can cause inefficiencies and higher costs. The community discussion shows strong consensus (94%) for ACD, with multiple comments providing detailed reasoning about VARIANT null semantics, the inefficiency of single-row DMLs, and the benefits of validation and staging tables.

Author: LeetQuiz Editorial Team