Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake - Virtual Warehouses

The video tutorial explains Snowflake's architecture, focusing on the compute layer made up of virtual warehouses. It covers the types of warehouses, including single and multicluster, and the parameters needed for their creation. The tutorial also discusses scaling policies, standard and economy, and provides a practical guide to creating a warehouse using the Snowflake UI.

What are the three layers of Snowflake's architecture?

• Storage, Networking, Security

• Data, Processing, Networking

• Input, Output, Processing

• Storage, Compute, Cloud Services

What is the primary function of a virtual warehouse in Snowflake?

• Network management

• Security enforcement

• Data storage

• Compute power for operations

Which type of virtual warehouse consists of only one node?

• Parallel warehouse

• Distributed warehouse

• Single cluster warehouse

• Multicluster warehouse

In maximize mode, what does Snowflake do when creating a warehouse?

• Creates a single node cluster

• Scales down to save resources

• Maximizes the number of clusters at creation

• Starts with the minimum number of clusters

How does the standard scaling policy handle additional workloads?

• By queuing operations

• By spinning up additional warehouses

• By reducing the workload

• By shutting down idle warehouses

What is the main difference between standard and economy scaling policies?

• Standard prevents queuing, economy conserves credits

• Economy uses more resources, standard uses less

• Economy spins up warehouses immediately, standard waits

• Standard conserves credits, economy does not

What happens if a Snowflake warehouse is idle for 5 minutes?

• It is scaled up

• It is backed up

• It is suspended

• It is deleted