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True or False: Snowflake tables are logical structures of collections of columns and rows of data physically stored in Snowflake's FDN files (micro-partitions).

  1. True

  2. False

The correct answer is: True

The statement is true because Snowflake tables indeed function as logical structures that organize data into collections of columns and rows. These tables are not merely theoretical constructs; they are backed by Snowflake's unique storage architecture, specifically utilizing micro-partitions. Micro-partitions allow for efficient data storage and retrieval by dividing large datasets into smaller, manageable pieces that can be accessed individually. Moreover, each micro-partition holds a compressed set of data, which improves performance during queries, ensuring that Snowflake can quickly return results. This architecture enables scalable and optimal database performance, while also allowing the flexibility to handle different types of data efficiently. Therefore, the understanding that Snowflake tables consist of a logical organization that reflects how the data is physically stored in micro-partitions is a key principle of working with Snowflake's data management system.