What is the term for distributing workload across multiple computing resources?

• A. Load Balancing
• B. Magnitude
• C. Maximum Tolerable Downtime
• D. Mean Time Between Failures

Answer: (A)

Distributing workload across multiple computing resources is called load balancing. The goal is to spread work—traffic, requests, or tasks—across a group of servers or resources so none becomes a bottleneck. This improves response times and overall capacity because several resources work in parallel, and it also boosts availability: if one resource fails, others can handle the load. A load balancer sits in front of a pool of servers and forwards new work using strategies such as round-robin, least connections, or load-based routing. In practice, this is used for web apps, databases, or any service that can run on multiple servers, helping with scalability and resilience. The other terms refer to different concepts: magnitude is just size, maximum tolerable downtime is the amount of downtime a business can tolerate, and mean time between failures is the average time between failures. None of those describe how work is distributed across resources.