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In a 3-node auto-failover cluster, the Leader has been brought down for patching that lasts longer than the configured TTL. A Standby has been promoted. Which steps are required to repair the cluster when the old Leader is brought back online?
Correct Answer: A
Explanation The correct answer is A. On the new Leader, generate a Standby seed for the old Leader node and add it to the cluster member list. Rebuild the old Leader as a new Standby and then re-enroll the node to the cluster. This is the recommended way to repair the cluster health after an auto-failover event, according to the CyberArk Sentry Secrets Manager documentation1. This method reuses the original Leader as a new Standby, without affecting the new Leader or the other Standby. The steps are as follows: On the new Leader, generate a Standby seed for the old Leader node using the command evoke seed standby <old-leader-fqdn>. This will create a file named <old-leader-fqdn>.tar in the current directory. On the new Leader, add the old Leader node to the cluster member list using the command evoke cluster add <old-leader-fqdn>. On the old Leader server, stop and remove the container using the commands docker stop <container-name> and docker rm <container-name>. On the old Leader server, copy the Standby seed file from the new Leader using the command scp <new-leader-fqdn>:<old-leader-fqdn>.tar . On the old Leader server, create a new container using the same name as the one you just destroyed, and load the Standby seed file using the command docker run --name <container-name> -d --restart=always -v /var/log/conjur:/var/log/conjur -v /opt/conjur/backup:/opt/conjur/backup -p "443:443" -p "5432:5432" -p "1999:1999" cyberark/conjur:latest seed fetch <new-leader-fqdn> <old-leader-fqdn>.tar On the old Leader server, re-enroll the node to the cluster using the command evoke cluster enroll <old-leader-fqdn> The other options are not correct, as they either involve unnecessary or harmful steps, such as rebuilding the new Leader or the other Standby, or re-uploading the auto-failover policy in replace mode, which may cause data loss or inconsistency.