SOL-C01 Exam Dumps | A Snowflake account uses separate virtual warehouses for different workloads: 'REPORTING WI- 4' for reporting

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 16/155

A Snowflake account uses separate virtual warehouses for different workloads: 'REPORTING WI-
4' for reporting queries and
'TRANSFORM WH' for data transformation jobs. A user, Alice, is responsible for running both types of workloads. Alice is experiencing performance issues with reporting queries when the transformation jobs are running concurrently. Both warehouses are currently configured with the
'STANDARD' size. What are the recommended strategies to improve the performance of reporting queries without significantly impacting the performance of transformation jobs?

A. Increase the size of 'REPORTING_WH' to 'LARGE and enable auto-suspend on to prevent it from consuming resources when idle.

B. Enable mufti-cluster warehouses for both and and set the scaling policy to 'ECONOMY' for
'TRANSFORM_WH' and 'STANDARD for 'REPORTING WH'.

C. Enable auto-suspend on 'REPORTING_WH' and increase the size of 'TRANSFORM_WH' to
'LARGE

D. Enable Resource Monitors to limit the credit usage of 'TRANSFORM_WH' and increase the size of to 'LARGE.

E. Enable multi-cluster warehouses for 'REPORTING with a scaling policy set to `STANDARD and a minimum of 2 clusters. Implement Query Acceleration Service to reduce the compute resources used by reporting queries and implement Resource Monitors to limit the credit usage of
'TRANSFORM_WH'.

Correct Answer: E

Enabling a multi-cluster warehouse for 'REPORTING_WH' with a 'STANDARD' scaling policy allows Snowflake to automatically scale up the number of clusters to handle the increased workload from concurrent reporting queries. The Query Acceleration Service (QAS) will try to reduce the resource consumption of reporting queries. Implementing Resource Monitors for
`TRANSFORM WHS will prevent it from consuming excessive credits and impacting the performance of 'REPORTING_WH' during concurrent execution.

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