A. VARCHAR with a size large enough to accommodate the largest expected JSON document.
Query efficiency depends on using LIKE and SIJBSTRING functions.

B. VARIANT. Query efficiency is achieved using dot notation and FLATTEN table function, but storage size might be larger than VARCHAR.

C. OBJECT. Suitable if the JSON structure is strictly defined and known in advance, allowing for optimized schema and query performance.

D. ARRAY. Best suited if the primary structure is an array of similar JSON objects, allowing for easy iteration and filtering.

E. BINARY. Suitable for storing raw JSON bytes. Requires custom conversion functions for querying, resulting in poor performance.