Resource monitors in Snowflake can be configured at the account and virtual warehouse levels. They are used to track credit usage and control costs associated with running virtual warehouses. When certain thresholds are reached, resource monitors can trigger actions such as sending alerts or suspending warehouses to prevent excessive credit consumption. References: [COF-C02] SnowPro Core Certification Exam Study Guide

For continuous data loads using Snowpipe, the recommended compressed file size range is between 100-250 MB. This size range is suggested to optimize the number of parallel operations for a load and to avoid size limitations, ensuring efficient and cost-effective data loading

To upload data files from a local directory or folder on a client machine to an internal stage in Snowflake, the PUT command is used. The PUT command takes files from the local file system and uploads them to an internal Snowflake stage (or a specified stage) for the purpose of preparing the data to be loaded into Snowflake tables.
Syntax Example:
PUT file://<local_file_path> @<stage_name>;
This command is crucial for data ingestion workflows in Snowflake, especially when preparing to load data using the COPY INTO command.
Reference: Snowflake Documentation on Using the PUT Command: https://docs.snowflake.com/en/sql- reference/sql/put.html

When SINGLE = FALSE is set during COPY INTO, Snowflake writes multiple output files, enabling parallelism. Setting SINGLE = TRUE forces one output file, reducing parallel processing.
Reference:
Snowflake Docs: COPY INTO Parameters

Snowflake's architecture allows for the independent scaling of compute resources, meaning you can increase or decrease the computational power as needed without affecting storage. This separation also means that storage can grow independently of compute usage, allowing for more flexible and cost-effective data management.