CIS-HAM Exam Dumps : Certified Implementation Specialist - Hardware Asset Management

According to the Hardware Asset Management documentation, the hardware model normalization process is a process of comparing the model data in the ServiceNow platform with the data from the Content Library, which is a cloud-based service that provides normalized and enriched hardware model data.

The hardware model normalization process helps customers identify and manage their hardware models more effectively, as well as plan for hardware refreshes based on end-of-life (EOL) and end-of-service (EOS) dates1.

The hardware model normalization process assigns a status to each hardware model, such as Fully Normalized, Partially Normalized, Match Not Found, or Not Normalized1.

The status of Fully Normalized means that the hardware model data in the ServiceNow platform matches the data from the Content Library, indicating a complete and accurate model record1.

The status of Partially Normalized means that the hardware model data in the ServiceNow platform partially matches the data from the Content Library, indicating a missing or incorrect model field1.

In order for a hardware model to be fully normalized rather than partially normalized, the hardware model record must have the following fields populated correctly1:

Manufacturer: The name of the company that produces the hardware product.

Name: The name of the hardware product, such as Dell Latitude E7450 or HP ProLiant DL380 Gen10.

Model number: The unique identifier of the hardware product, such as 210-AFZC or 875671-B21.

Therefore, the correct answer is option E, model number, as it is the field that is required in the hardware model record for full normalization.

The plugin that helps alleviate inconsistencies in company names is the Normalization Data Services plugin, which is part of the ServiceNow IT Asset Management suite1.

The Normalization Data Services plugin provides a set of features and capabilities that enable you to standardize and normalize data across various tables and fields in ServiceNow, such as manufacturer names, model names, software names, and company names12.

The Normalization Data Services plugin uses a combination of rules, dictionaries, and algorithms to identify and correct data inconsistencies, such as spelling errors, abbreviations, synonyms, and duplicates12.

The Normalization Data Services plugin can help you improve the quality and accuracy of your data, reduce manual efforts and errors, and enhance reporting and analysis12. References:

1: Normalization Data Services - Product Documentation: San Diego - ServiceNow

2: Normalization Data Services - ServiceNow