Exam Certified Data Engineer Associate topic 1 question 39 discussion

In that Question they mention that the endpoint is not being used by any other user, which means it's a problem of scaling up, because queries from a single user are not performing which means it needs more processing power(vertical scaling). Hence the approach there would be to increase the cluster size, but in the above question the problem is there are several small queries run by multiple users, problem of concurrency which requires scaling out the cluster. In sql endpoint configuration , Scaling option you can mention min and max clusters. Which is a way to scale out your cluster by adding more units.

differenct question

the question on Practice set is slightly different if you look closely :-In the first scenario, the data analyst notes slow query performance for sequentially run queries on a SQL endpoint that isn't shared with other users. This suggests that the problem may be related to the configuration or performance of the SQL endpoint itself rather than contention with other users. In the second scenario, the data analysis team experiences slow query performance when multiple team members are running queries simultaneously on the same SQL endpoint. This indicates potential resource contention or limitations on the SQL endpoint when handling concurrent queries from multiple users. Given these differences, the approaches to address the issues may also differ:

the question is about concurrent small queries this one in pdf is about sequential

Completely different question