What could cause incorrect classification during a discovery scan?

The selection of deployment of inaccurate classifiers is significant because classifiers play a vital role in identifying and categorizing discovered items based on the information obtained during a discovery scan. Classifiers analyze data from various sources, such as hardware and software attributes, to determine the correct classes for different configuration items (CIs) within the ServiceNow Configuration Management Database (CMDB).

If the classifiers being used are inaccurate or not well-maintained, they may misinterpret the data received from the Discovery process, leading to incorrect categorizations. This misclassification can cause a myriad of issues, from misreporting of asset inventory to incorrectly linked dependencies, ultimately compromising the integrity of the CMDB and affecting service management processes.

Other factors like outdated MID Servers, insufficient network bandwidth, and imprecise IP address ranges may have an impact on the discovery process, possibly leading to incomplete or delayed data being collected. However, these issues primarily affect the quality and timeliness of the data acquisition rather than the actual classification accuracy. Thus, while they are relevant considerations in ensuring effective discovery, they do not directly result in incorrect classification as inaccurately deployed classifiers do.