How would you optimize this scenario to solve performan…

A company is running a batch analysis every hour on their main transactional DB, running on an RDS MySQL
instance, to populate their central Data Warehouse running on Redshift. During the execution of the batch, their
transactional applications are very slow. When the batch completes they need to update the top management
dashboard with the new data. The dashboard is produced by another system running on-premises that is
currently started when a manually-sent email notifies that an update is required. The on-premises system
cannot be modified because is managed by another team.
How would you optimize this scenario to solve performance issues and automate the process as much as
possible?

A company is running a batch analysis every hour on their main transactional DB, running on an RDS MySQL
instance, to populate their central Data Warehouse running on Redshift. During the execution of the batch, their
transactional applications are very slow. When the batch completes they need to update the top management
dashboard with the new data. The dashboard is produced by another system running on-premises that is
currently started when a manually-sent email notifies that an update is required. The on-premises system
cannot be modified because is managed by another team.
How would you optimize this scenario to solve performance issues and automate the process as much as
possible?

A.
Replace RDS with Redshift for the batch analysis and SNS to notify the on-premises system to update the
dashboard

B.
Replace RDS with Redshift for the oaten analysis and SQS to send a message to the on-premises system
to update the dashboard

C.
Create an RDS Read Replica for the batch analysis and SNS to notify me on-premises system to update
the dashboard

D.
Create an RDS Read Replica for the batch analysis and SQS to send a message to the on-premises
system to update the dashboard.



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Raymond

Raymond

Right answer is C