Snowflake SnowPro Certification Practice Test

What are schemas in Snowflake?

1. Physical partitions of data

2. Logical groupings of database objects

3. Built-in functions for data manipulation

4. User-defined types for data storage

The correct answer is: Logical groupings of database objects

Schemas in Snowflake serve as logical groupings of database objects, which include tables, views, and stored procedures. By organizing these objects into schemas, users can manage and categorize their data more effectively, enhancing the structure and clarity of the database. This logical organization aids in both data management and security, allowing for different user permissions to be assigned at the schema level. In contrast, physical partitions of data pertain more to how data is stored and optimized within the underlying infrastructure rather than the logical arrangement. Built-in functions for data manipulation are tools used to perform actions on data but do not represent a structural element of the database. User-defined types are useful for extending the data types available in Snowflake but are not inherently related to the organization of database objects like schemas are.