Snowflake's architecture is designed to handle high concurrency workloads through several features, two of which are particularly effective:
* B. The use of warehouse auto scaling: This feature allows Snowflake to automatically adjust the compute resources allocated to a virtual warehouse in response to the workload. If there is an increase in concurrent queries, Snowflake can scale up the resources to maintain performance.
* D. Use of multi-clustered warehouses: Multi-clustered warehouses enable Snowflake to run multiple clusters of compute resources simultaneously. This allows for the distribution of queries across clusters, thereby reducing the load on any single cluster and improving the system's ability to handle a high number of concurrent queries.
These features ensure that Snowflake can manage varying levels of demand without manual intervention, providing a seamless experience even during peak usage.
References:
* Snowflake Documentation on Virtual Warehouses
* SnowPro Core Certification Study Guide

A Reader account in Snowflake can be used to share data with a consumer who does not have a Snowflake account. Reader accounts are a type of shared account provided by data providers to external data consumers, allowing them to access and query shared data using Snowflake's web interface without needing their own Snowflake account.
References:
* Snowflake Documentation: Reader Accounts

Protegrity is listed as a data tokenization integration partner for Snowflake. This partnership allows Snowflake users to utilize Protegrity's tokenization solutions within the Snowflake environment3.
Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

A cached MFA token is valid for up to four
hours.https://docs.snowflake.com/en/user-guide/security-mfa#using-mfa-token-caching-to-minimize-the-number