How can a database professional guarantee that consumers view the most current data after a failover?

A corporation is transitioning from an IBM Informix database to an Amazon RDS for SQL Server Multi-AZ implementation with Always On Availability Groups (AGs). SQL Server Agent tasks are scheduled to execute at 5-minute intervals on the Always On AG listener to synchronize data between the Informix and SQL Server databases. After a successful failover to the backup node with minimum delay, users endure hours of stale data.

How can a database professional guarantee that consumers view the most current data after a failover?
A . Set TTL to less than 30 seconds for cached DNS values on the Always On AG listener.
B. Break up large transactions into multiple smaller transactions that complete in less than 5 minutes.
C. Set the databases on the secondary node to read-only mode.
D. Create the SQL Server Agent jobs on the secondary node from a script when the secondary node takes over after a failure.

Answer: D

Explanation:

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_SQLServerMultiAZ.ht ml

If you have SQL Server Agent jobs, recreate them on the secondary. You do so because these jobs are stored in the msdb database, and you can’t replicate this database by using Database Mirroring (DBM) or Always On Availability Groups (AGs). Create the jobs first in the original primary, then fail over, and create the same jobs in the new primary.

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