Explanation:
Option B is correct because an Amazon Aurora global database in two Regions would allow for quick failover by promoting the secondary Region to primary in case of a disaster, thus meeting the RPO and RTO requirements. Option D is also correct as setting up the application in two Regions with Amazon Route 53 failover-based routing provides effective disaster recovery. The use of health checks ensures that traffic is directed to the available Region, and Auto Scaling groups adjust capacity to handle demand.
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A company needs to ensure an RPO (Recovery Point Objective) of 2 hours and an RTO (Recovery Time Objective) of 10 minutes for their data and application, which utilizes a MySQL database and Amazon EC2 web servers. The development team is tasked with implementing a failover and disaster recovery strategy. Which two deployment strategies would effectively meet these stringent recovery objectives?
A
Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store. Use Aurora’s automatic recovery capabilities in the event of a disaster.
B
Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure, promote the secondary Region as the primary for the application.
C
Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.
D
Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use health checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand.
E
Set up the application in two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster, adjust the Auto Scaling group’s desired instance count to increase baseline capacity in the failover Region.