In Snowflake, the default access level for any securable object (such as a table, view, or schema) is " No access " until explicit access is granted. This means that when an object is created, only the owner of the object and roles with the necessary privileges can access it. Other users or roles will not have any form of access to the object until it is explicitly granted.
This design adheres to the principle of least privilege, ensuring that access to data is tightly controlled and that users and roles only have the access necessary for their functions. To grant access, the owner of the object or a role with the GRANT option can use the GRANT statement to provide specific privileges to other users or roles.
For example, to grant SELECT access on a table to a specific role, you would use a command similar to:
GRANTSELECTONTABLEmy_tableTOROLE my_role;
Reference: Snowflake Documentation on Access Control (https://docs.snowflake.com/en/user-guide/security- access-control-overview.html)

To return results from the results cache in Snowflake, certain conditions must be met:
Privileges: The user must have the appropriate privileges on the objects associated with the query. This ensures that only authorized users can access cached data.
Time Frame: The query must have been run within 24 hours of the previously-run query. Snowflake's results cache is designed to store the results of queries for a short period, typically 24 hours, to improve performance for repeated queries.

When loading data into Snowflake, one critical consideration is the parallel processing capability of the virtual warehouse used for the data loading operation. The number of data files that can be processed in parallel during a loading operation is determined by the size and resources of the virtual warehouse. A larger warehouse can process more files simultaneously, improving the efficiency and speed of data loading operations. Optimizing the size of the virtual warehouse according to the data loading needs and thesize and number of files to be loaded can significantly impact the overall performance of the data loading process.
References:
Snowflake Documentation: Optimizing Data Loading

The Snowflake Query Profile provides a graphic representation of the main components of the query processing.This visual aid helps users understand the execution details and performance characteristics of their queries4.