Snowflake SnowPro Certification Practice Test

Which systems does Compute leverage from Microsoft and Amazon?

1. AWS EC2, Azure Compute

2. Amazon Lambda, Azure Functions

3. AWS Lambda, Azure Kubernetes

4. Amazon EC2, Azure Blob Storage

The correct answer is: AWS EC2, Azure Compute

The correct choice highlights that Compute in Snowflake utilizes both AWS EC2 (Elastic Cloud Compute) and Azure Compute. These are pivotal components of their respective cloud platforms that allow for scalable computing power, enabling Snowflake to perform complex data processing tasks efficiently. AWS EC2 provides resizable compute capacity in the cloud and is integral for running applications on Amazon’s cloud infrastructure. Snowflake leverages EC2 for its elastic scaling capabilities, providing customers with the flexibility to adjust resources based on workload requirements. Similarly, Azure Compute includes various services that facilitate the execution of applications and services within Microsoft's cloud environment. By relying on Azure's compute services, Snowflake ensures that its platform can efficiently manage and process data in a flexible and scalable manner, crucial for handling varying workloads. The other options reference technologies that do not directly correlate with the fundamental compute resources utilized in Snowflake's architecture. For instance, AWS Lambda and Azure Functions are serverless computing platforms designed for executing code in response to events instead of providing the broad compute infrastructure necessary for operations like those performed on EC2 and Azure Compute. Moreover, AWS Lambda and Azure Kubernetes do not directly pertain to the primary compute resources Snowflake uses. In contrast, Amazon EC2 and Azure Compute are about scalable computing power,