Snowflake SnowPro Certification Practice Test

How does Snowflake support concurrent sessions?

1. By allowing multiple queries in a single session

2. By using sequences to generate unique numbers

3. By limiting session durations

4. By restricting data types

The correct answer is: By using sequences to generate unique numbers

Snowflake's architecture is designed to handle multiple concurrent sessions efficiently. The correct approach to supporting concurrent sessions involves the ability to manage execution resources, allowing different users to run queries simultaneously without interference. The answer regarding sequences to generate unique numbers does not directly address concurrency in sessions. Sequences are useful for generating unique identifiers, particularly in data insertion scenarios, but they do not inherently control or facilitate multiple concurrent sessions in the way Snowflake's architecture is designed to do. Instead, Snowflake achieves concurrency through features like its multi-cluster architecture, which allows multiple virtual warehouses to scale independently. This enables numerous users to execute operations at the same time without queueing, thereby enhancing performance and response times during concurrent access. Options that involve session durations and data type restrictions also do not pertain to the effective management of concurrent sessions. Session duration may relate to resource management but does not enable the parallel processing of sessions. Data types, while crucial for integrity and optimization, do not impact the ability to handle concurrent sessions directly. In summary, while the mention of sequences as a means to generate unique numbers is a useful aspect of data management, it does not directly support the concept of concurrent sessions in the context of Snowflake’s architecture.