Snowflake Certification Practice Test

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What is a defined data set in Snowflake?

A permanent data storage
A point in time snapshot that can be updated by customers
A live database
A temporary cache

The correct answer is: A point in time snapshot that can be updated by customers

A defined data set in Snowflake is accurately described as a point in time snapshot that can be updated by customers. This concept reflects how Snowflake allows users to create a specific version of data at a given moment, making it possible to access and analyze this snapshot without altering the original source of the data. This capability is useful for various reasons, such as maintaining data integrity, facilitating data analysis without affecting live operational data, and enabling version control for datasets. Users can update these snapshots as needed, which aligns with the dynamic nature of business intelligence and analytics where data constantly evolves. The other options do not accurately capture the essence of a defined data set in Snowflake. Permanent data storage implies a more static form of data management, while a live database typically refers to operational data that is currently in use, lacking the versioning aspect of snapshots. A temporary cache suggests a short-lived storage solution primarily focused on quick access rather than a defined snapshot of data that customers can update.