What should you do?

You have an Azure data solution that contains an enterprise data warehouse in Azure Synapse Analytics named DW1.

Several users execute adhoc queries to DW1 concurrently.

You regularly perform automated data loads to DW1.

You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run.

What should you do?
A . Assign a smaller resource class to the automated data load queries.
B. Create sampled statistics to every column in each table of DW1.
C. Assign a larger resource class to the automated data load queries.
D. Hash distribute the large fact tables in DW1 before performing the automated data loads.

Answer: C

Explanation:

The performance capacity of a query is determined by the user’s resource class. Smaller resource classes reduce the maximum memory per query, but increase concurrency.

Larger resource classes increase the maximum memory per query, but reduce concurrency.

Reference: https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/resource-classes-for-workloadmanagement