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Does Snowflake allow landing data into external stages on cloud storage platforms?

  1. Yes

  2. No

  3. Only for real-time processing

  4. Only for specific data types

The correct answer is: Yes

Snowflake allows users to land data into external stages that are associated with cloud storage platforms such as Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage. This capability is fundamental to how Snowflake integrates with cloud-based data ecosystems, enabling users to efficiently stage their data for loading into Snowflake databases. External stages serve as a bridge for ingesting data into Snowflake, allowing users to manage large data sets without needing to move data into the Snowflake system first. Instead, the data can reside in cloud storage while being accessible for various processing tasks, such as batch loading or querying. This feature enhances flexibility for users who handle diverse data sources and want to leverage cloud-native storage solutions while maximizing the performance and scalability benefits Snowflake provides. The options that imply limitations based on processing type or data types are not aligned with Snowflake's broader capability of handling data from any external storage as long as it adheres to the formats supported by the platform.