Free Practice Questions for ServiceNow CIS-Discovery Exam

The SNMP Query operation on a pattern for a custom device query allows Discovery to retrieve information from the target device using the SNMP protocol. It is best practice to use the published manufacturer’s device MIB, which is the official and standard definition of the device’s SNMP data. Using the manufacturer’s device MIB ensures that the query is accurate, consistent, and compatible with the device. Modifying the default MIB information, enabling SSH as a secondary protocol, or using live devices in production are not recommended practices, as they may introduce errors, security risks, or performance issues123.

One method for deleting specific CIs not discovered in 30 days is to use a scheduled job that runs a script to query the CMDB for CIs that have not been updated by Discovery for a certain period of time, and then delete them or mark them as retired. This method can help you keep your CMDB clean and accurate, and avoid having stale or obsolete CIs. You can configure the scheduled job to run at a specific frequency and time, and specify the criteria for selecting the CIs to delete.

Discovery Range Sets in ServiceNow Discovery offer a flexible way to manage and identify networks. They simplify the administration of network discovery by allowing administrators to define groups of IP ranges. This organization helps in effectively managing and targeting different network segments without needing to define each IP range in individual Discovery Schedules. Range Sets do not necessarily show the number of IPs in a subnet, nor are they the only way to define multiple IP ranges in a schedule.

In ServiceNow Discovery, relationships between Configuration Items (CIs) in a horizontal pattern are created using the "Create Relation/Reference" operation. This operation allows the pattern to define and establish relationships or references between discovered CIs, based on the information gathered during the discovery process. Options B and C are incorrect as relationships are not automatically created nor is it true that they cannot be created via patterns. Option D, "Create Connections," is not a standard operation in this context.References= ServiceNow Discovery documentation, specifically the sections on creating and managing horizontal discovery patterns.

The mid.discovery.max_pattern_payload_size property defines the maximum overall size for the returned payload that comes from patterns. This property is set on the MID Server and applies to all patterns that run on that MID Server. If the payload size exceeds this limit, the pattern execution fails and an error message is logged in the ECC queue. The default value of this property is 10 MB1.

Based on the image, the value assigned to the label “Value” is a concatenation of variables and strings. One of the variables is $name_details[1].exec_info, which indicates that $name_details is a tabular variable, meaning an array or a map that can store multiple values1. The [1] is the index or the key that accesses the element of the tabular variable. The .exec_info is the attribute or the property of the element. Therefore, the choice D is true.

The other choices are not true based on the image. The choice A is false because the image does not show any WMI query operation step. A WMI query operation step is a pattern step that executes a WMI query on a Windows device and returns the results as a tabular variable2. The image does not show any WMI query syntax or result. The choice B is false because there is no scalar variable labeled ‘1’. A scalar variable is a variable that can store only one value1. The image shows a label “Value” but not a variable name. The choice C is false because the value can be used in a pattern step. A pattern step is a unit of logic that performs a specific action during Discovery or Service Mapping3. The value can be used as an input or an output of a pattern step, depending on the context.

London Linux Servers is a CMDB Group with Health Group type. A CMDB Group is a collection of configuration items (CIs) that share common characteristics or are related in some way1. A Health Group is a type of CMDB Group that is used to monitor and measure the health of a specific set of CIs based on predefined rules and metrics2. The image shows that London Linux Servers is selected from the CMDB Health Group List, which is a dropdown menu that displays all the Health Groups defined in the system3. The image also shows the Group Health tab, which displays the health scores and indicators for the selected Health Group.

Pattern operations are the building blocks of patterns that define the logic and actions to perform on the target CIs. Some pattern operations query targets to retrieve information or execute commands, while others manipulate data or perform other tasks. WMI Query and Get Process are examples of pattern operations that query targets. WMI Query executes a Windows Management Instrumentation (WMI) query on a Windows target and stores the results in a variable. Get Process executes a command to list the processes running on a target and stores the results in a variable12.

Discovery and Service Mapping are both products that help to identify and map the IT infrastructure and services in an organization. However, they have different approaches and objectives. Discovery uses IP address ranges as the starting point for finding devices and applications on the network, and then runs probes and sensors to collect information and classify them. Discovery focuses on inventory-related use-cases, such as asset management, configuration management, and compliance. Service Mapping uses entry points, such as URLs or host names, as the starting point for mapping business services and their dependencies. Service Mapping runs patterns, which are sequences of operations that follow the traffic connections between devices and applications, and then creates a service map that shows the logical and semantic relationships. Service Mapping focuses on service-related use-cases, such as service availability, impact analysis, and root cause analysis12.