Splunk SPLK-3002 Exam With Confidence Using Practice Dumps

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], ]

Reference: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/KPIImportance#:~:text=ITSI%20considers%20KPIs%20that%20have,other%20KPIs%20in%20the%20service, The KPI importance weight is a value that indicates how much a KPI contributes to the overall health score of a service. The importance weight can range from 1 (lowest) to 10 (highest). The statement that applies when configuring a KPI importance weight of 11 is:, B. Importance weight is unused for health scoring. This is true because an importance weight of 11 is invalid and cannot be used for health scoring. The maximum value for importance weight is 10., The other statements do not apply because:, A. At least 10% of the KPIs will go critical. This is not true because an importance weight of 11 does not affect the severity level of any KPIs., C. The service will go critical. This is not true because an importance weight of 11 does not affect the health score or status of any service., D. It is a minimum health indicator KPI. This is not true because an importance weight of 11 does not indicate anything about the minimum health level of a KPI., References: Set KPI importance values in ITSI, ]