SPLK-3002 Exam Dumps : Splunk IT Service Intelligence Certified Admin Exam

Reference: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/Visualizations#collapseDesktop8, A glass table is a visualization tool that allows you to monitor the interrelationships and dependencies across your IT and business services. You can add metrics like KPIs, ad hocsearches, and service health scores that update in real time against a background that you design. One of the features of glass tables is service swapping, which enables you to toggle displaying KPI values from more than one service on a single widget. You can use service swapping to compare metrics across different services without creating multiple glass tables or widgets. References: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables]]

Reference: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/Dependencies, A service template is a predefined set of KPIs and entity rules that you can apply to a service or a group of services. A service template helps you standardize the configuration and monitoring of similar services across your IT environment. A service template can also include dependent services, which are services that are required for another service to function properly. For example, a web server service might depend on a database service and a network service. The default importance value for dependent services’ health scores is:, D. 10. This is true because the importance value indicates how much a dependent service contributes to the health score of the parent service. The default value is 10, which means that the dependent service has the highest impact on the parent service’s healthscore. You can change the importance value of a dependent service in the service template settings., The other options are not correct because:, A. 11. This is not true because 11 is an invalid value for importance. The valid range is from 1 (lowest) to 10 (highest)., B. 1. This is not true because 1 is the lowest value for importance, not the default value. A value of 1 means that the dependent service has the lowest impact on the parent service’s health score., C. Unassigned. This is not true because every dependent service has an assigned importance value, which defaults to 10., References: Create and manage service templates in ITSI, Set KPI importance values in ITSI, ]

Reference: [Reference: https://newoutlook.it/download/book/splunk/advanced-splunk.pdf, When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:, B. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data. This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules., The other options are not things you should consider because:, A. Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using | stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs. You should use | stats functions only in base searches or ad hoc searches, not in custom fields., C. Make sure that all fields conform to CIM, then use the corresponding module to import related services. This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have., D. Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases., References: Overview of modules in ITSI, [Install technical add-ons for ITSI modules], ]