Which virtualization application protects against single point of failure issues?

Which virtualization application protects against single point of failure issues?

• A. High Availability
• B. Load Balancing
• C. Redundancy
• D. Failover Clustering

Answer: (B)

The key idea is keeping services available even when part of the system fails by having alternatives ready to take over. In virtualization, that means a setup that can automatically move workloads from a failed component to a healthy one without downtime. Failover clustering does exactly this: a group of hosts works together so that if one host or path goes down, the VMs and services can fail over to another member of the cluster. This directly addresses a single point of failure by ensuring there’s always another resource that can pick up the load, keeping the system online. Redundancy supports this approach by duplicating critical components (like extra servers or storage controllers) so there are spares available, but failover clustering provides the automatic switch-over behavior that makes the protection seamless. High availability is the broader goal that combines these ideas to minimize downtime, while load balancing mainly distributes traffic to prevent bottlenecks; it helps performance and can boost availability under load, but by itself it doesn’t guarantee operation if a core component fails or a control path fails.

The key idea is keeping services available even when part of the system fails by having alternatives ready to take over. In virtualization, that means a setup that can automatically move workloads from a failed component to a healthy one without downtime.

Failover clustering does exactly this: a group of hosts works together so that if one host or path goes down, the VMs and services can fail over to another member of the cluster. This directly addresses a single point of failure by ensuring there’s always another resource that can pick up the load, keeping the system online.

Redundancy supports this approach by duplicating critical components (like extra servers or storage controllers) so there are spares available, but failover clustering provides the automatic switch-over behavior that makes the protection seamless. High availability is the broader goal that combines these ideas to minimize downtime, while load balancing mainly distributes traffic to prevent bottlenecks; it helps performance and can boost availability under load, but by itself it doesn’t guarantee operation if a core component fails or a control path fails.