COF-C02 · Question #4
When reviewing the load for a warehouse using the load monitoring chart, the chart indicates that a high volume of Queries are always queuing in the warehouse According to recommended best practice…
The correct answer is A. Use multi-clustered warehousing to scale out warehouse capacity: This approach allows for B. Scale up the warehouse size to allow Queries to execute faster: Increasing the size of the. Snowflake best practices recommend two approaches for persistent queuing: (A) use multi-cluster warehousing to scale out - adding more clusters means more queries can run concurrently rather than waiting in queue; and (B) scale up the warehouse size - larger warehouses complete…
Question
When reviewing the load for a warehouse using the load monitoring chart, the chart indicates that a high volume of Queries are always queuing in the warehouse According to recommended best practice, what should be done to reduce the Queue volume? (Select TWO).
Options
- AUse multi-clustered warehousing to scale out warehouse capacity: This approach allows for
- BScale up the warehouse size to allow Queries to execute faster: Increasing the size of the
- CStop and start the warehouse to clear the queued queries
- DMigrate some queries to a new warehouse to reduce load
- ELimit user access to the warehouse so fewer queries are run against it.
How the community answered
(24 responses)- A83% (20)
- C4% (1)
- D4% (1)
- E8% (2)
Explanation
Snowflake best practices recommend two approaches for persistent queuing: (A) use multi-cluster warehousing to scale out - adding more clusters means more queries can run concurrently rather than waiting in queue; and (B) scale up the warehouse size - larger warehouses complete individual queries faster, which frees slots for queued queries more quickly. Option C (stop/start) does not resolve the root cause and disrupts active workloads. Option D (migrating queries to a new warehouse) is a valid architectural approach but is not a Snowflake-recommended best practice specifically for queue reduction. Option E (limiting access) reduces load by blocking users, which is not a performance optimization.
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