F5 F5CAB5 Exam Dumps - Actual Questions Answers

Understanding High Availability (HA) synchronization behavior is critical for maintaining a stable environment. In a device group where "Auto-Sync" is enabled, the BIG-IP system monitors the management plane for any configuration updates across all members. While best practices often suggest making changes on the "Active" device, TMOS allows changes on any device within the group. When a change is made on the "Standby" device, the system detects a configuration mismatch and, because Auto-Sync is enabled, it automatically pushes those changes to the other devices in the sync group, including the current Active member. To troubleshoot if this is working correctly, the administrator should review the "Sync Status" stats in the Configuration Utility. If the changes do not propagate, it suggests9 a breakdown i10n the HA trust relationship or network connectivity issues on the failover VLAN. Proper interpretation of this scenario confirms that the HA functionality is operating correctly, ensuring that both devices have a consistent set of virtual servers and pools, which is vital f11or seamless failover.

Comprehensive and Detailed Explanation From BIG-IP Administration Support and Troubleshooting documents: Monitoring resource utilization is essential for maintaining system stability. If the root (/) file system reaches 100% capacity, the BIG-IP may become unresponsive, fail to save configuration changes, or experience daemon crashes83. When the / partition is full, the immediate troubleshooting step is to identify large or unnecessary files—such as old log files, core dumps, or temporary installer files—located specifically within that file system84. In the provided exhibit, /dev/md4 is explicitly listed at 100% usage for the / mount point85. Checking other partitions like /usr (which is at 82% in the exhibit) would not resolve the immediate "Full" status of the root directory86. Administrators often use the du (disk usage) command via the CLI to find the problematic files. Managing disk space is a proactive task; however, when utilization hits 100%, it becomes a reactive troubleshooting emergency that must be resolved to restore the management plane's functionality.

Uneven load balancing on a BIG-IP system typically occurs when traffic is not distributed evenly across all available pool members. One common reason is thatmonitors have marked down multiple pool members (Option B). When health monitors fail for specific pool members, BIG-IP automatically removes those members from load-balancing decisions. As a result, traffic is sent only to the remaining healthy member, creating the appearance that load balancing is not functioning correctly. This behavior is expected and aligns with BIG-IP’s design to ensure traffic is sent only to healthy resources.

Another frequent cause isthe presence of a persistence profile on the pool or virtual server (Option C). Persistence (such as source address or cookie persistence) forces subsequent client connections to be sent to the same pool member for session continuity. While persistence is critical for certain applications, it can override the load-balancing algorithm and cause most or all traffic to be directed to a single pool member, especially during low traffic volumes or testing scenarios.

The other options are incorrect because avirtual server marked down (Option A)would not pass traffic at all, andall pool members marked down (Option D)would result in no connections rather than uneven distribution. This analysis follows standard BIG-IP troubleshooting methodology using pool status, monitor results, and persistence configuration review.