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| Vendor: | Splunk |
|---|---|
| Exam Code: | SPLK-3002 |
| Exam Name: | Splunk IT Service Intelligence Certified Admin |
| Exam Questions: | 96 |
| Last Updated: | January 6, 2026 |
| Related Certifications: | Splunk IT Service Intelligence Certified Admin |
| Exam Tags: | Advanced Splunk administratorsIT analysts |
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Fritz is looking at a Deep Dive with a lane showing the average percent of CPU usage across the four web servers in the web farm. Seeing a spike, he wants to add the graphs of each server on the swim lane, and selects the Lane Overlay Options to do so. No entity overlays are available for the KPI.
What is wrong with his KPI configuration?
In Splunk ITSI, swim lane overlays depend on a KPI being split by entity so that each entity's individual time series can be displayed separately in the Deep Dive view. When a KPI is aggregated without an entity split, it produces a single time series value at each timestamp representing the entire group (in this case, the average CPU across all web servers). Because that KPI does not contain per entity values, ITSI has nothing to overlay --- therefore no entity overlays appear in the Lane Overlay Options. This configuration mistake often happens when a KPI is defined to average values across sources without specifying an entity dimension on which to split results. Entity filtering is a separate feature that enables restricting which entities are considered in display or analytics and does not control availability of swim lane overlays; pseudo entities are artificial names that do not reflect actual system identities and are not relevant to this error; and having only three entities versus four would not prevent overlays from appearing if the KPI were correctly split by entity. The correct fix is to edit the KPI definition and configure it to split the metric results by the server entity field, such that each server has its own time series. This then enables Fritz to overlay the individual server CPU graphs on the swim lane as intended.
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events. Reference:Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]
Which capabilities are enabled through ''teams''?
D is the correct answer because teams allow you to restrict access to service content in UI views such as service analyzers, glass tables, deep dives, and episode review. Teams also control access to services and KPIs for editing and viewing purposes. Teams do not affect the ability to search against the itsi_summary index, restrict notable event alert actions, or restrict searches against the itsi_notable_audit index. Reference:Overview of teams in ITSI
Which scenario would benefit most by implementing ITSI?
Splunk IT Service Intelligence (ITSI) is a monitoring and analytics solution that uses artificial intelligence and machine learning to provide insights into the health and performance of IT services. ITSI lets you create services that represent the critical components of your IT infrastructure, such as applications, databases, servers, networks, and so on. You can then monitor the status and performance of these services using key performance indicators (KPIs), which are metrics that measure aspects of service health, such as availability, latency, error rate, and so on. ITSI also provides tools for visualizing, investigating, and alerting on service issues, such as service analyzers, glass tables, deep dives, episode review, and so on. The scenario that would benefit most by implementing ITSI is monitoring of business service functionality, because ITSI enables you to measure and improve the quality and reliability of your IT services and align them with your business objectives. Reference:What is Splunk IT Service Intelligence?
Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment?
A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference:Service Analyzer
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