Dynamically allocating resources to workloads is which type of balancing?

Dynamically allocating resources to workloads is which type of balancing?

• A. Manual balancing
• B. Automatic load balancing
• C. Predictive balancing
• D. Static balancing

Answer: (B)

Dynamically allocating resources to workloads is automated, real-time balancing. In this approach, the system continuously monitors demand and redistributes compute, memory, or other resources without human intervention to keep workloads running smoothly. That’s what automatic load balancing is: a component (like a load balancer or orchestration tool) senses current load and moves traffic or scales resources to maintain performance. This differs from manual balancing, where a person would adjust allocations, or static balancing, where resources are fixed and don’t change in response to demand. Predictive balancing tries to forecast future load and pre-provision resources, whereas dynamic automatic balancing reacts to what’s happening now. A common real-world example is a web service behind a load balancer that routes traffic across multiple servers and automatically adds or removes servers as traffic spikes or lowers.

Dynamically allocating resources to workloads is automated, real-time balancing. In this approach, the system continuously monitors demand and redistributes compute, memory, or other resources without human intervention to keep workloads running smoothly. That’s what automatic load balancing is: a component (like a load balancer or orchestration tool) senses current load and moves traffic or scales resources to maintain performance.

This differs from manual balancing, where a person would adjust allocations, or static balancing, where resources are fixed and don’t change in response to demand. Predictive balancing tries to forecast future load and pre-provision resources, whereas dynamic automatic balancing reacts to what’s happening now. A common real-world example is a web service behind a load balancer that routes traffic across multiple servers and automatically adds or removes servers as traffic spikes or lowers.