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Which feature allows dynamic scaling of compute resources in Snowflake?

  1. Auto-suspend

  2. Multi-cluster warehouses

  3. Task Scheduling

  4. Data Sharing

The correct answer is: Multi-cluster warehouses

Multi-cluster warehouses are a feature in Snowflake that allows for dynamic scaling of compute resources based on demand. When workloads increase, Snowflake can automatically add additional compute clusters to efficiently handle the workload without impacting performance. This ensures that users can accommodate varying levels of concurrency and processing requirements without manual intervention or planned scaling, enabling organizations to maintain performance during peak usage times. The ability to add or remove clusters dynamically means that resources are allocated based on real-time needs, providing a more flexible and responsive architecture. This is particularly beneficial for organizations that experience fluctuating workloads, as it allows them to optimize costs while ensuring that performance standards are met. Other options such as auto-suspend help to reduce costs by pausing resources when not in use, task scheduling is focused on automating the execution of SQL statements, and data sharing provides capabilities for sharing data securely across different Snowflake accounts but does not directly relate to scaling compute resources. Thus, multi-cluster warehouses are specifically designed for dynamic scalability.