SOL-C01 Question #108: Real Exam Question with Answer & Explanation

Question

Which of the following statements are true regarding considerations when working with VARIANT data types in Snowflake? (Select all that apply)

Options

• AQueries on VARIANT columns can be slower than queries on strongly-typed columns because
• BSnowflake automatically indexes VARIANT columns, eliminating the need for manual index
• CVARIANT columns can store data with different schema within the same column.
• DYou can use the operator to cast data extracted from a VARIANT column to a specific data type.
• EData stored in VARIANT columns always consumes less storage space than the equivalent data

Explanation

Option A is correct: Querying VARIANT columns involves runtime type inference, leading to potential performance overhead. Option C is correct: VARIANT columns are designed to store data with flexible schema. Option D is correct: The operator is used for type casting when extracting data from VARIANT columns. Option B is incorrect: Snowflake does not automatically index VARIANT columns. Option E is incorrect: VARIANT columns can sometimes consume more storage space due to the metadata required to describe the data structure.

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