The following chart represents the performance of a virtual warehouse over time:
A Data Engineer notices that the warehouse is queueing queries. The warehouse is size X-Small, the minimum and maximum cluster counts are set to 1, the scaling policy is set to standard, and auto-suspend is set to 10 minutes.
How can the performance be improved?
The chart shows that there is a significant queue of queries, indicating that the current capacity of the virtual warehouse is insufficient to handle the load. Increasing the size of the warehouse would provide more computational resources, allowing it to process queries faster and thus reducing or eliminating the queue. Simply changing the cluster settings, as suggested by A, might not be as effective because the minimum and maximum cluster counts are already set to 1, which means there's no room for additional clusters in the current configuration. Changing the scaling policy to economy (option C) would likely reduce performance further, as economy scaling is designed to save costs rather than improve performance. Finally, changing the auto-suspend time frame (option D) does not address the issue of query queueing and would only impact how long the warehouse stays active when not in use.
A could be correct. The cluster size is 1 and the queries are taking a long time to complete