The Search Optimization Service significantly improves the performance of selective point lookup queries on tables by creating and maintaining a persistent data structure called a search access path, which allows some micro-partitions to be skipped when scanning the table

In a multi-cluster warehouse with an economy scaling policy, queries will wait in the queue for 2 minutes before another cluster is started. This is to minimize costs by allowing queries to queue up for a short period before adding additional compute resources. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide

The search optimization service in Snowflake is designed to improve the performance of selective point lookup queries on large tables, which is ideal for scenarios where a query returns a small amount of data from a very large base table1. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide

Snowflake automatically rotates encryption keys when they are more than 30 days old. Active keys are retired, and new keys are created. This process is part of Snowflake's comprehensive security measures to ensure data protection and is managed entirely by the Snowflake service without requiring user intervention.
Reference:
Understanding Encryption Key Management in Snowflake

Secure sharing in Snowflake allows users to share specific objects with other Snowflake accounts without physically copying the data, thus not consuming additional storage. Tables and Secure User Defined Functions (UDFs) are among the objects that can be shared using this feature. Materialized views, sequences, and procedures are not shareable objects in Snowflake.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Secure Data Sharing1