Snowflake Certification Practice Test 2026 – All-in-One Resource to Ensure Your Exam Success!

The correct answer is true. Standard warehouses in Snowflake can indeed scale out to meet concurrency needs. Snowflake provides the ability for warehouses to automatically spin up additional clusters when multiple queries are running simultaneously and there is a need for additional processing power. This feature is crucial for maintaining performance levels in environments where multiple users or workloads require access to data concurrently.

When concurrency issues arise, rather than being constrained by a single cluster's resources, Snowflake's multi-cluster architecture allows warehouses to scale out seamlessly. This means that when demand increases, additional clusters can be allocated to handle the load, ensuring a smooth user experience without significant delays.

Options that suggest that standard warehouses cannot scale out would not reflect the capabilities inherent in Snowflake’s architecture, which is designed for flexibility and performance optimization in response to user demand.