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What does auto-scaling typically adjust based on workload demand?

  1. Network bandwidth

  2. Server count

  3. Storage capacity

  4. Data redundancy

The correct answer is: Server count

Auto-scaling is a cloud computing feature that automatically adjusts the number of active servers based on the workload demand at any given moment. It ensures that there are enough resources to handle increases in traffic without sacrificing performance, while also reducing the number of active servers during low traffic periods to save on costs. By dynamically changing the server count, auto-scaling maintains optimal performance and efficiency, allowing organizations to respond flexibly to changing user needs. In contrast, network bandwidth refers to the data transfer capacity of a network connection and is typically managed separately from server management. Storage capacity involves the amount of data that can be stored, which is adjusted through provisioning additional storage resources rather than through auto-scaling of servers. Data redundancy deals with creating copies of data to ensure reliability and availability, which is not directly related to the scaling of server instances but rather to data protection strategies.