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What should the solutions architect do to separate the read requests from the write requests?

An application running on AWS uses an Amazon Aurora Multi-AZ deployment for its database. When evaluating performance metrics, a solutions architect discovered that the database reads are causing high I/O and adding latency to the write requests against the database.

What should the solutions architect do to separate the read requests from the write requests?
A . Enable read-through caching on the Amazon Aurora database.
B . Update the application to read from the Multi-AZ standby instance.
C . Create a read replica and modify the application to use the appropriate endpoint.
D . Create a second Amazon Aurora database and link it to the primary database as a read replica.

Answer: C

Explanation:

Reference: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html

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