Which of the following approaches can the data engineering team use to improve the latency of the team’s queries?

A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team’s queries uses the same SQL endpoint.

Which of the following approaches can the data engineering team use to improve the latency of the team’s queries?
A . They can increase the cluster size of the SQL endpoint.
B . They can increase the maximum bound of the SQL endpoint’s scaling range.
C . They can turn on the Auto Stop feature for the SQL endpoint.
D . They can turn on the Serverless feature for the SQL endpoint.
E . They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to “Reliability Optimized.”

View Answer

Answer: B

Explanation:

https://community.databricks.com/t5/data-engineering/sequential-vs-concurrency-optimization-questions-from-query/td-p/36696