What is a result of enabling Davis awareness of HTTP and custom errors?

Enabling Davis awareness of HTTP and custom errors allows the system to automatically begin baselining your site. This means that Davis, the AI engine in Dynatrace, can learn and analyze the typical performance and error metrics of your application over time. By establishing a baseline, Davis can more effectively identify anomalies and deviations from normal behavior, which can signify potential issues or outages. This automated baselining is crucial for proactive monitoring, as it enables Dynatrace to provide timely insights and alerts based on real-time data in relation to established averages.

In contrast, other options suggest outcomes that do not align with the capabilities of Dynatrace. For example, eliminating the need for alerting implies that performance and error tracking would no longer be necessary, which contradicts the very purpose of monitoring tools. Similarly, requiring manual baselining would negate the efficiency and automation that Davis provides, while disabling all monitoring features would completely undermine the platform's core functionalities. Each of these incorrect options overlooks the fundamental benefits of enabling Davis awareness in a monitoring context.