You plan to deploy 20 Microsoft Azure SQL Database instances to an elastic pool in Azure to support a batch
processing application.
Two of the databases in the pool reach their peak workload threshold at the same time every day. This leads to
inconsistent performance for batch completion.
You need to ensure that all batches perform consistently.
What should you do?

A.
Create an In-Memory table.

B.
Increase the storage limit in the pool.

C.
Implement a readable secondary database.

D.
Increase the total number of elastic Database Transaction Units (eDTUs) in the pool.

Explanation:
In SQL Database, the relative measure of a database’s ability to handle resource demands is expressed in
Database Transaction Units (DTUs) for single databases and elastic DTUs (eDTUs) for databases in an elastic
pool.
A pool is given a set number of eDTUs, for a set price. Within the pool, individual databases are given the
flexibility to auto-scale within set parameters. Under heavy load, a database can consume more eDTUs to meet
demand.
Additional eDTUs can be added to an existing pool with no database downtime.
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool