Snowflake SnowPro Certification Practice Test

How many types of caching does Snowflake have?

1. Two

2. Three

3. Four

4. Five

The correct answer is: Three

Snowflake has three types of caching mechanisms that enhance performance and efficiency: 1. **Result Caching**: This type stores the results of queries for 24 hours. If an identical query is executed again within that period, Snowflake retrieves the results from the cache instead of re-executing the query. This significantly speeds up response times for repeated queries. 2. **Warehouse Cache**: This is focused on the data loaded into compute clusters. When a virtual warehouse processes queries, it utilizes the warehouse cache to store intermediate results. If the same query is run multiple times, the cached intermediate results can be used to improve performance by reducing the amount of data that needs to be processed. 3. **Metadata Cache**: This type caches metadata information about the objects in Snowflake, such as tables, schemas, and other database objects. By caching this metadata, Snowflake reduces the overhead associated with object lookups, allowing for faster query execution. Understanding these caching types helps optimize query performance, reduces compute costs, and enhances the overall efficiency of data processing in Snowflake.