The search optimization service in Snowflake supports use cases involving conjunctions (AND) of multiple equality predicates. This service enhances the performance of queries that include multiple equality conditions by utilizing search indexes to quickly filter data without scanning entire tables or partitions. It's particularly beneficial for improving the response times of complex queries that rely on specific data matching across multiple conditions.
References:
* Snowflake Documentation: Search Optimization Service

To temporarily bypass a network policy by configuring the user object property MINS_TO_BYPASS_NETWORK_POLICY, the USERADMIN role should be used. This role has the necessary privileges to modify user properties, including setting a temporary bypass for network policies, which can be crucial for enabling access under specific circumstances without permanently altering the network security configuration.
Reference:
Snowflake Documentation: User Management

Masking policies in Snowflake are created and applied at the column level. These policies are used to obfuscate sensitive data by masking the values in a specific column. Masking policies can enforce data privacy and protection measures by dynamically masking the data based on the role of the user querying the data.
:
Snowflake Documentation: Dynamic Data Masking

In the Query Profile of Snowflake, the TableScan operator represents the access to a single table. This operator indicates that the query execution involved reading data from a table stored in Snowflake. TableScan is a fundamental operation in query execution plans, showing how the database engine retrieves data directly from tables as part of processing a query.
Reference:
Snowflake Documentation: Understanding the Query Profile