Horizontal scaling refers to?

Horizontal scaling refers to?

• A. Scale up by increasing vCore size, CPU, RAM on each machine
• B. Scale out by processing on multiple machines and load balancing
• C. Disabling multi-threading
• D. Changing deployment region

Answer: (B)

Horizontal scaling means expanding capacity by adding more machines to handle the workload, rather than making a single machine more powerful. When you scale out, processing is distributed across several nodes and a load balancer directs requests to them, increasing throughput and providing fault tolerance if one node goes down. This contrasts with scaling up, which boosts the power of a single machine by upgrading CPU, RAM, or vCore. The other options don’t fit: increasing resources on one machine is vertical scaling; disabling multi-threading isn’t a scaling approach; changing deployment region affects location, not overall capacity.

Horizontal scaling means expanding capacity by adding more machines to handle the workload, rather than making a single machine more powerful. When you scale out, processing is distributed across several nodes and a load balancer directs requests to them, increasing throughput and providing fault tolerance if one node goes down. This contrasts with scaling up, which boosts the power of a single machine by upgrading CPU, RAM, or vCore. The other options don’t fit: increasing resources on one machine is vertical scaling; disabling multi-threading isn’t a scaling approach; changing deployment region affects location, not overall capacity.