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A company has deployed a web application on AWS.

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A company has deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to supportscallng needs. The read replicas must lag no more than 1 second behind the primary DB instance. The database routinely runs scheduled stored procedures.

As traffic on the website increases, the replicas experince addtional lag during periods of peak load. A solutions architect must reduce the replication lag as much as possible. The solutin architect must minimize changes to the application code and must minimize ongoing operational overhead.

Which solution will meet these requirements?

A.

Migrate the database to Amazon Aurora MySQL. Replace the read replicas with Aurora Replicas, and configure Aurora Auto Scaling. Replace the store procedures with Aurora MySQL native functions.

B.

Deploy an Amazon ElasticCache for Redis cluster in front of the database. Modify the application to check the cache before the applicatin queries the database. Replace the stored procedures with AWS Lambda functions.

C.

Migrate the database to a MySQL database that runs on Amazon EC2 instances. Choose large, compute optimized EC2 instances for all replica nodes. Maintain the stored procedures on the EC2 instances.

D.

Migrate the database to Amazon DynamicDB provision a large number of read capacity units(RCUs) to support the required throught, and configure on-demand capacity scaling. Replace the store procedures with DynamoDB streams

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