You are currently working with the application team to setup a SQL Endpoint point, once the team started consuming the SQL Endpoint you noticed that during peak hours as the number of concur-rent users increases you are seeing degradation in the query performance and the same queries are taking longer to run, which of the following steps can be taken to resolve the issue?

You are currently working with the application team to setup a SQL Endpoint point, once the team started consuming the SQL Endpoint you noticed that during peak hours as the number of concur-rent users increases you are seeing degradation in the query performance and the same queries are taking longer to run, which of the following steps can be taken to resolve the issue?
A . They can turn on the Serverless feature for the SQL endpoint.
B . They can increase the maximum bound of the SQL endpoint’s scaling range.
C . They can increase the cluster size(2X-Small to 4X-Large) of the SQL endpoint.
D . They can turn on the Auto Stop feature for the SQL endpoint.
E . They can turn on the Serverless feature for the SQL endpoint and change the Spot In-stance Policy from “Cost optimized” to “Reliability Optimized.”

Answer: B

Explanation:

The answer is, They can increase the maximum bound of the SQL endpoint’s scaling range, when you increase the max scaling range more clusters are added so queries instead of waiting in the queue can start running using available clusters, see below for more explanation.

The question is looking to test your ability to know how to scale a SQL Endpoint (SQL Warehouse) and you have to look for cue words or need to understand if the queries are running sequentially or concurrently. if the queries are running sequentially then scale up (Size of the cluster from 2X-Small to 4X-Large) if the queries are running concurrently or with more users then scale out (add more clusters).

SQL Endpoint (SQL Warehouse) Overview: (Please read all of the below points and the below diagram to understand)