Which of the following accurately represents automated baselining?

Automated baselining is a process that enables systems to dynamically adjust reference values based on real-time data rather than relying solely on predefined or static metrics. By automatically determining the best reference values for incoming traffic, automated baselining can better reflect current conditions, which enhances observability and performance management.

This approach allows for continuous monitoring and adaptation, meaning that as user behavior or application load changes, the system can recalibrate itself. Consequently, it effectively accommodates variations in traffic patterns, ensuring that alerts and performance metrics remain relevant and actionable.

In contrast to this concept, relying solely on historical data overlooks the need for adaptability present in dynamic environments. Furthermore, requiring manual updates introduces a high risk of human error and can lead to obsolete reference points that do not align with current performance trends. The inability to adapt based on traffic location contradicts the core purpose of automated baselining, which thrives on contextual awareness and flexibility. Thus, the correct choice reflects the essence of automated baselining's functionality.