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A company will deployed a web application on AWS.

A company will 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 support scaling needs. The read replicas must log no more than 1 second bahind the primary DB Instance. The database routinely runs scheduled stored procedures.

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

Which solution will meet these requirements?

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

Deploy an Amazon ElasticCache for Redis cluser in front of the database. Modify the application to check the cache before the application queries the database. Repace the stored procedures with AWS Lambda funcions.

A.

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

B.

Deploy an Amazon ElastiCache for Redis cluster in fornt of the database. Modify the application to check the cache before the application 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 DynamoDB, Provision number of read capacity units (RCUs) to support the required throughput, and configure on-demand capacity scaling. Replace the stored procedures with DynamoDB streams.

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