When scaling out by adding clusters to a multi-cluster warehouse, you are primarily scaling for improved:
When scaling out by adding clusters to a multi-cluster warehouse, you are primarily scaling for improved:
When scaling out by adding clusters to a multi-cluster warehouse, you are primarily scaling for improved concurrency. Adding clusters increases the number of compute resources available, allowing more queries and users to be handled simultaneously. This helps to prevent bottlenecks and ensures that multiple operations can be processed at the same time.
Answer: A A. Concurrency is the primary benefit when scaling out by adding clusters to a multi-cluster warehouse. By adding more clusters, you increase the number of compute resources available, which allows the warehouse to handle more queries and users concurrently. This can help prevent bottlenecks and improve overall query performance, but the primary goal of adding clusters is to increase concurrency. B. Performance can also improve as a result of scaling out, but it is not the primary benefit. The main focus is on improving concurrency by enabling more users and queries to be processed simultaneously.
Correct answer
Improving concurrency would also improve performance. Primarily is the key word here.
https://docs.snowflake.com/en/user-guide/warehouses-considerations#scaling-up-vs-scaling-out
Correct
A is correct
A is correct
Concurrency is correct