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

Deploying asset tasks during the retirement of an asset means using the ServiceNow Enterprise Asset Workflow Automation feature, which automates the end-of-life procedures for assets that are no longer needed or functional1.

This feature allows you to flag assets as retired pending disposal, triggering a workflow that verifies the asset condition, determines the disposal method, and saves the disposal certificates1.

The two primary benefits of deploying asset tasks during the retirement of an asset are:

Reduces manual intervention: By automating the retirement process, you can eliminate the need for manual data entry, human errors, and delays. You can also ensure compliance with policies and regulations by following a standardized procedure12.

Increases speed of updates: By using the ServiceNow Agent mobile app, you can scan asset tags and barcodes, update asset status and inventory, and complete asset tasks on the go. This can increase the speed and accuracy of asset updates and reduce the risk of data loss or duplication13. References:

1: Enterprise Asset Workflow Automation - ServiceNow

2: Asset and CI management - Product Documentation: San Diego - ServiceNow

3: Enterprise Asset Management - ServiceNow

A stock rule is a record that defines the minimum and maximum quantity of a model or an asset in a stockroom12.

The Stock Rule Runner is a scheduled job that runs every hour and checks the stock levels of models and assets in stockrooms against the stock rules13.

If the stock level of a model or an asset is less than the minimum quantity specified in the stock rule, the Stock Rule Runner creates a stock order to replenish the stock from another stockroom or from a vendor13.

Therefore, the correct answer is A. When stock is less than the threshold specified in the stock rule.

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.