Snowflake COF-C02 Actual Questions

The search optimization service and automatic clustering are features that can improve the performance of queries returning a small subset of rows from a large table. The search optimization service is designed for low-latency point lookup queries, while automatic clustering organizes data in micro-partitions based on specific dimensions to reduce the amount of data scanned during queries.

Query parsing and compilation in Snowflake occur within the cloud services layer. This layer is responsible for various management tasks, including query compilation and optimization

 Snowflake supports semi-structured data types, which include OBJECT and VARIANT. These data types are capable of storing JSON-like data structures, allowing for flexibility in data representation. OBJECT can directly contain VARIANT, and thus indirectly contain any other data type, including itself1.

 Snowflake’s secure data sharing feature allows sharing of certain database objects with other Snowflake accounts. Among the options provided, external tables and secure UDFs can be shared