Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Query Processing and Caching

The video tutorial explains the three types of caching in Snowflake: query result caching, local cache in the virtual warehouse, and metadata caching. It demonstrates how to set up the Snowflake environment, execute queries, and manage cache effectively. The tutorial also covers how to clear cache and optimize query performance, concluding with an introduction to search optimization.

What are the three types of caching available in Snowflake?

• Local cache, cloud cache, and data cache

• Data cache, query cache, and metadata cache

• Result cache, local cache, and metadata cache

• Result cache, data cache, and cloud cache

Why is it considered bad practice to use the account admin role for writing SQL queries?

• It can cause conflicts with other users

• It can lead to accidental data deletion

• It is less secure and can expose sensitive data

• It is not optimized for query performance

What indicates that a query result was reused from the metadata cache?

• The query execution time is significantly longer

• The query execution time is very short

• The query result shows 'remote disk IO'

• The query result shows 'local cache hit'

How can you clear the result cache in Snowflake?

• By restarting the virtual warehouse

• By executing a special SQL command

• By setting 'use cache result' to false

• By deleting the cache files manually

What happens to the query performance when the local cache is cleared?

• The query execution time increases

• The query execution time decreases

• The query fails to execute

• The query execution time remains the same

What is the only way to clear the local cache in Snowflake?

• By executing a special SQL command

• By deleting cache files

• By suspending the warehouse

• By restarting the Snowflake account

What is the next topic to be covered after caching in Snowflake?

• Data sharing

• User management

• Search optimization

• Data encryption