The Credential Affinity table is a table that associates an IP address and a credential in Discovery1.It is used to store the credential that was successfully used to access a device during Discovery2.It can also be used to manually assign a credential to an IP address or a range of IP addresses3. The other options are not tables that associate an IP address and a credential in Discovery. The Service Affinity table is a table that associates a business service and a credential. The Service CI Association table is a table that associates a business service and a configuration item (CI). The Tags table is a table that stores tags that can be applied to records in any table.

The Parse Variable pattern operation allows you to extract information from the output of a previous operation and save it in a variable. You can choose from different parsing methods, such as JSON File, XML File, Regular Expression, or Custom Script. To have two different parsing methods to populate variables, you need to use two different steps, each with a different Define Parsing selection. For example, you can use one step to parse a JSON file and another step to parse an XML file. You cannot use two different parsing methods on the same step, as the Define Parsing selection is unique for each step.

Parse command output: This article explains how to use the Parse command output operation and the different parsing methods available.

Pattern Designer: Parse Variable - JSON File gives error: This article provides a troubleshooting tip for using the JSON File parsing method.

Examples of EVAL scripts used in Discovery patterns: This article provides some examples of custom scripts that can be used for the Custom Script parsing method.

According to the ServiceNow website1, the key capabilities of a ServiceNow ITOM Enterprise solution are:

Manage hybrid clouds: Gain visibility and control across your hybrid cloud environment with a single system of action for IT.

Proactively eliminate service outages: Identify issues and anomalies before they cause service outages with AIOps and machine learning.

Automate IT service operations: Automate common service requests, processes, and tasks with digital workflows and virtual agents.

Optimize IT service delivery: Align your IT resources and investments with business priorities and optimize service delivery performance.

1:ITOM - Enterprise IT Operations Management - ServiceNow

An extension section of a discovery pattern is a section that allows you to modify or extend the functionality of an existing pattern without customizing it. An extension section can contain shared libraries, which are reusable code snippets that can be invoked from any pattern or extension section. Shared libraries can be used to define common functions, variables, or constants that are used across multiple patterns or extension sections.Shared libraries can also be used to override the default behavior of some built-in functions, such as identification or classification12.Reference=1: ITOM: Extending Discovery/Service Mapping Patterns - GlideFast ServiceNow2: How to Create Discovery Pattern Extensions and Why to Use Them

The main Key Performance Indicators (KPIs) for the CMDB Health scorecard in ServiceNow include Correctness, Completeness, and Staleness. These KPIs are critical for assessing the overall health and quality of the CMDB. Correctness refers to the accuracy of the data in the CMDB, Completeness measures whether all required CI data is present, and Staleness indicates the freshness or timeliness of the CI data. Compliance and Duplicates, while important, are not considered main KPIs in the context of the CMDB Health scorecard. Reference = ServiceNow CMDB documentation and CMDB Health Dashboard user guide, focusing on the key performance indicators for CMDB health.