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A company is deploying a critical application by using Amazon RDS for MySQL.

A company is deploying a critical application by using Amazon RDS for MySQL. The application must be highly available and must recover automatically. The company needs to support interactive users (transactional queries) and batch reporting (analytical queries) with no more than a 4-hour lag. The analytical queries must not affect the performance of the transactional queries.

A.

Configure Amazon RDS for MySQL in a Multi-AZ DB instance deployment with one standby instance. Point the transactional queries to the primary DB instance. Point the analytical queries to a secondary DB instance that runs in a different Availability Zone.

B.

Configure Amazon RDS for MySQL in a Multi-AZ DB cluster deployment with two standby instances. Point the transactional queries to the primary DB instance. Point the analytical queries to the reader endpoint.

C.

Configure Amazon RDS for MySQL to use multiple read replicas across multiple Availability Zones. Point the transactional queries to the primary DB instance. Point the analytical queries to one of the replicas in a different Availability Zone.

D.

Configure Amazon RDS for MySQL as the primary database for the transactional queries with automated backups enabled. Configure automated backups. Each night, create a read-only database from the most recent snapshot to support the analytical queries. Terminate the previously created database.

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