first run SHOW FILE FORMATS
then SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(-1)))
https://docs.snowflake.com/en/sql-reference/functions/result_scan#usage-notes

In Snowflake, when dealing with semi-structured data such as a JSON document stored in a VARIANT column, the proper syntax to extract a value is to use the column name followed by the path to the specific element. Since arrays in JSON are zero-indexed, the first element is referenced with [0]. Therefore, to extract the name from the first element of the elements array, the correct syntax is Source_column:elements[0].
name.References: Snowflake Documentation on Semi-Structured Data

For users assigned the ACCOUNTADMIN role, Snowflake recommends enforcing Multi-Factor Authentication (MFA) to enhance security. The ACCOUNTADMIN role has extensive permissions, making it crucial to secure accounts held by such users against unauthorized access. MFA adds an additional layer of security by requiring a second form of verification beyond just the username and password, significantly reducing the risk of account compromise.References: Snowflake Security Best Practices

For minimizing the cost of large tables that are used to store transitory data, which does not need to be protected against failures because it can be reconstructed outside of Snowflake, the best table type to use is Transient. Transient tables in Snowflake are designed for temporary or transitory data storage and offer reduced storage costs compared to permanent tables. However, unlike temporary tables, they persist across sessions until explicitly dropped.
* Why Transient Tables:Transient tables provide a cost-effective solution for storing data that is temporary but needs to be available longer than a single session. They have lower data storage costs because Snowflake does not maintain historical data (Time Travel) for as long as it does for permanent tables.
* Creating a Transient Table:
* To create a transient table, use theTRANSIENTkeyword in the CREATE TABLE statement:
CREATETRANSIENTTABLEmy_transient_table (...);
* Use Case Considerations:Transient tables are ideal for scenarios where the data is not critical, can be easily recreated, and where cost optimization is a priority. They are suitable for development, testing, or staging environments where data longevity is not a concern.
Reference:For more details on transient tables and their usage scenarios, refer to the Snowflake documentation on table types: https://docs.snowflake.com/en/sql-reference/sql/create-table.html#table-types

EMP_ID NUMBER,
EMP_NAME VARCHAR(30),
EMP_SALARY NUMBER, DEPT VARCHAR{20)
);
Explanation:
A virtual warehouse in Snowflake is used to perform data processing tasks that require computational resources, such as queries that modify data or perform significant computation. Of the options provided:
C . INSERT INTO TBL_EMPLOYEE(EMP_ID, EMP_NAME, EMP_SALARY, DEPT) VALUES(1,'Adam',20000,'Finance'); This SQL statement performs a data modification operation (DML) by inserting a new record into the TBL_EMPLOYEE table, which requires computational resources provided by a virtual warehouse to execute.
Reference:
Snowflake Documentation: Understanding Virtual Warehouses