In terms of feature support, what additional areas do patterns support that probes do not?

The correct answer highlights that patterns support additional areas such as cloud discovery and configuration file tracking, which probes do not. Patterns are designed to be more flexible and capable of discovering complex environments, particularly in cloud services where traditional probes may fall short.

Probes are typically used to perform basic data collection for specific pieces of infrastructure or applications. They work well for straightforward scenarios, primarily focusing on gathering data from on-premises systems and existing network configurations.

In contrast, patterns can dynamically adapt to different types of cloud services, allowing for the discovery of resources hosted in environments like AWS, Azure, or Google Cloud. Furthermore, patterns can track configuration files in a more detailed manner, enabling better insights into the state and relationship of resources within cloud ecosystems. This makes patterns a more powerful tool for not only identifying but also managing and integrating cloud assets effectively.

The other options do not accurately represent the specific capabilities that set patterns apart from probes. For instance, network mapping is typically handled by a different set of discovery tools and functionalities within ServiceNow, while custom application integration and advanced reporting capabilities are more aligned with the overall functionalities of the ServiceNow platform rather than being specifically attributed to either patterns or probes.