Snowflake supports incremental refresh for many common query constructs, including supported uses of DISTINCT, GROUP BY, and UNION ALL.
General lateral joins are not supported for incremental dynamic-table refresh. A documented exception exists for supported uses of LATERAL FLATTEN.
When a dynamic table is created with REFRESH_MODE = AUTO, Snowflake analyzes the defining query.
When the query cannot be refreshed incrementally, Snowflake can choose full refresh mode.
When REFRESH_MODE = INCREMENTAL is explicitly requested and the query contains an unsupported construct, dynamic-table creation can fail instead of silently changing the requested refresh mode.
References:
Snowflake Documentation - Supported queries for incremental refresh: https://docs.snowflake.com/en/user- guide/dynamic-tables-supported-queries Snowflake Documentation - Dynamic-table refresh modes: https://docs.snowflake.com/en/user-guide
/dynamic-tables-refresh
==

The Snowflake PUT command is used to upload files from a local file system to Snowflake stages, specifically the user stage, table stage, and internal named stage. These stages are where the data files are temporarily stored before being loaded into Snowflake tables

Snowflake virtual warehouses support a configuration file and command line options in SnowSQL to specify a default warehouse, which is characteristic C. Additionally, the size of a virtual warehouse can be changed at any time, which is characteristic E. Thesefeatures provide flexibility and ease of use in managing compute resources2.
References = [COF-C03] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Organizing files into logical paths can significantly improve the efficiency of data loading from an external stage.This practice helps in managing and locating files easily, which can be particularly beneficial when dealing with large datasets or complex directory structures1.