Snowflake SnowPro Certification Practice Test

What command should you use for row-by-row data insertion in Snowflake?

1. Load

2. Insert

3. Copy

4. Append

The correct answer is: Insert

The use of the "Insert" command is appropriate for row-by-row data insertion in Snowflake because it allows you to add one or multiple individual rows into an existing table. This command provides the flexibility to specify the values for each column in the new row(s) being added, which is essential for row-wise operations where you are dealing with specific record insertion. In contrast, the "Load" command is not a standard SQL operation in Snowflake but typically relates to bulk loading from staged data. The "Copy" command is used for bulk loading data from external stages into tables, making it more efficient for large datasets instead of individual rows. The term "Append" does not refer to a specific command in Snowflake’s SQL context for inserting data; rather, it describes the action of adding data, often implying bulk operations. Thus, "Insert" is the most accurate and fitting command for operations requiring the addition of data on a row-by-row basis in Snowflake.