Snowflake Certification Practice Test

Is it true that metadata cache is used to optimize queries and improve query compile time?

1. True

2. False

3. Only in specific scenarios

4. Not necessary for small queries

The correct answer is: True

The statement is accurate as metadata cache plays a crucial role in optimizing queries and enhancing query compile time within systems like Snowflake. Metadata cache stores information about the structure and schema of data, as well as statistics related to tables and other objects. This allows the query optimizer to quickly access necessary details without needing to read from the underlying data storage, thus improving response times. When a query is executed, the optimizer can leverage this cached metadata to make informed decisions about how to best execute the query, such as determining which data to access and the best methods for joining tables. As a result, queries can be compiled and executed more swiftly. This optimization is especially significant in environments where complex queries are frequently run, as it minimizes repetitive work and draws upon already available information. When considering the context of other options offered, it's important to note that although the metadata cache is beneficial generally, it isn't restricted only to specific scenarios or cases, nor is it only advantageous for larger queries. All queries can benefit from metadata caching to some degree, making the assertion true across various use cases.