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.