Snowflake SnowPro Certification Practice Test

Which are the valid transformations during COPY or INSERT operations?

1. Data Filtering

2. Column Reordering and Casting

3. Dynamic Type Adjustment

4. Row Duplication

The correct answer is: Column Reordering and Casting

The choice regarding column reordering and casting during COPY or INSERT operations is valid because Snowflake allows users to manipulate the structure and format of data being loaded into tables. Column reordering is a useful feature that enables the user to specify the order of columns in the source data file, ensuring that they align correctly with the target table's column order. This flexibility is important when the source data may not be organized in the same order as the destination table, as it allows for proper loading and ensures data integrity. Casting is another critical transformation that occurs during these operations, allowing different data types to be converted to the appropriate type expected by the target columns. For example, if a source column contains numeric values in string format, casting can convert it to a numeric type as it is loaded into the table. This type of transformation is vital for maintaining data accuracy and ensuring that queries function correctly. Other transformations mentioned, like data filtering and dynamic type adjustment, are not standard transformations during the COPY or INSERT processes. While filtering can often be applied in other contexts (like in SELECT statements), the COPY command is primarily focused on loading data as it is structured. Dynamic type adjustment is also not a feature of Snowflake’s data loading process; it expects explicit data types