Object tagging in Snowflake allows users to assign metadata labels to various database objects to improve data governance and access control. Tags can be used to categorize and manage data based on business needs, helping to enforce governance policies and streamline database administration.
Reference:
Snowflake Documentation: Object Tagging

To minimize Continuous Data Protection (CDP) costs when dealing with large, high-churn dimension tables in Snowflake, using transient tables is a recommended approach.
* Transient Tables: These are designed for data that does not require fail-safe protection. They provide the benefit of reducing costs associated with continuous data protection since they do not have the seven-day Fail-safe period that is mandatory for permanent tables.
* Periodic Copying to Permanent Tables: By periodically copying data from transient tables to permanent tables, you can achieve a balance between data protection and cost-efficiency. Permanent tables offer the extended data protection features, including Time Travel and Fail-safe, but these features can be applied selectively rather than continuously, reducing the overall CDP costs.
References:
* Snowflake Documentation on Transient Tables
* Snowflake Documentation on Time Travel & Fail-safe

In Snowflake, a namespace is comprised of a database and a schema. The combination of a database and schema uniquely identifies database objects within an account

* In a multi-cluster virtual warehouse, Snowflake allows you to scale-out by adding more clusters to handle concurrent queries.
* Increasing the MAX_CLUSTER_COUNT ensures more clusters are dynamically provisioned during high-concurrency periods, reducing queuing.
Why Other Options Are Incorrect:
* A. Increase warehouse size: Increases compute power for individual queries but does not address concurrency issues.
* B. Use economy scaling policy: Economy scaling is unrelated to reducing query queuing.
* D. Convert to Snowpark-optimized warehouse: Snowpark warehouses are designed for ML and Python-based workloads, not for query concurrency.
References:
* Multi-Cluster Warehouses