The Splunk IT Service Intelligence Certified Admin (SPLK-3002) exam validates your ability to install, configure, and manage Splunk IT Service Intelligence (ITSI) in production environments. This certification is designed for IT operations professionals and Splunk administrators who work with ITSI to monitor service health, correlate metrics, and investigate issues. This page provides a structured overview of the exam syllabus, question formats, and practical preparation strategies to help you build confidence and competency before test day.
Use this topic map to guide your study for Splunk SPLK-3002 (Splunk IT Service Intelligence Certified Admin) within the Splunk IT Service Intelligence Certified Admin path.
The SPLK-3002 exam uses multiple-choice and scenario-based questions to measure both conceptual knowledge and practical decision-making in real-world ITSI deployments.
Questions increase in complexity and require you to apply concepts across installation, configuration, monitoring, and troubleshooting domains. Success depends on both memorization and hands-on familiarity with ITSI workflows.
Effective preparation requires mapping the 16 core topics to a structured study schedule, practicing with realistic questions, and validating your understanding through hands-on labs. Allocate 4-6 weeks and prioritize areas where you have less operational experience.
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Configuration and implementation topics (Installing and Configuring ITSI, Designing Services, Implementing Services, and Thresholds and Time Policies) typically account for a larger portion of the exam because they reflect day-to-day admin responsibilities. However, troubleshooting and data quality topics (Data Audit and Base Searches, Troubleshooting ITSI) are equally important for operational success and appear frequently in scenario-based questions.
Entities are the building blocks of services; you first define entities (servers, applications, databases), then group them into services and establish dependencies between services. In practice, poor entity design leads to incomplete or inaccurate service health visibility. Understanding this connection is critical for designing scalable and maintainable ITSI implementations.
Ideally, you should have completed at least one full ITSI installation and configuration cycle, created at least two services with multiple KPIs, and configured thresholds and notable events. If you lack this experience, prioritize labs on Installing and Configuring ITSI, Designing Services, and Implementing Services to build muscle memory and confidence.
Confusing base search structure with KPI calculation logic, misunderstanding how aggregation policies affect service-level metrics, and overlooking the role of time policies in threshold evaluation are frequent errors. Additionally, candidates sometimes overlook the importance of data validation and audit steps, which can result in silent failures in production. Review the Data Audit and Base Searches section carefully and practice validating data quality in your lab.
Focus on weak topic areas identified in practice tests, review scenario-based questions and your reasoning for each answer, and take one full-length timed mock exam to simulate test conditions. Avoid cramming new topics; instead, reinforce core concepts, review glossary terms, and get adequate sleep before test day. On the day before the exam, do a light review of key workflows (service design, KPI creation, threshold configuration) rather than intensive studying.
Anomaly detection can be enabled on which one of the following?
A is the correct answer because anomaly detection can be enabled on a KPI level in ITSI. Anomaly detection allows you to identify trends and outliers in KPI search results that might indicate an issue with your system. You can enable anomaly detection for a KPI by selecting one of the two anomaly detection algorithms in the KPI configuration panel. Reference:Apply anomaly detection to a KPI in ITSI
Which of the following best describes a default deep dive?
C is the correct answer because a default deep dive initially shows all of the KPIs for a selected service. You can create a default deep dive by drilling down from another dashboard or by selecting a service from the deep dive lister page. A default deep dive does not show health scores, importance scores, or entity swim lanes by default. Reference: [Create default deep dives for services in ITSI]
Helga has a web service that depends on the database service to provide her website. She configures the database's ''Heartbeat'' KPI to be a dependency in the web service. When viewing the services in the Service Analyzer tree view she sees a dotted line between the database service and the web service.
What is the meaning of the dotted line and how can Helga fix it?
In Splunk IT Service Intelligence (ITSI), the Service Analyzer visually represents service dependencies. A solid line between services indicates a normal one way dependency where one service's health contributes to another's service health score. However, a dotted line signifies a cyclic dependency, meaning that two services are defined as depending on each other in a loop. This typically happens when a service is configured to depend on another service that, directly or indirectly, also depends back on the first service. In Helga's scenario, because the web service is set to depend on the database using the Heartbeat KPI, and the configuration somehow established a reverse dependency (even inadvertently), the Service Analyzer shows the relationship as cyclic with a dotted line. To resolve this, Helga needs to check the service dependency configuration for the database service and ensure it does not mistakenly include the web service (or any chain of dependencies that leads back to it). Removing or correcting that erroneous dependency breaks the cycle, which will then change the representation to a solid line and properly reflect the dependency without circular references. It's not related to KPI importance values in this context --- importance affects health score calculation but does not cause a cyclic dependency indicator.
Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)
A deep dive is a dashboard that allows you to analyze the historical trends and anomalies of your KPIs and metrics in ITSI. A deep dive displays a timeline of events and swim lanes of data that you can customize and filter to investigate issues and perform root cause analysis. Some of the capabilities of deep dives are:
B . Visualizing one or more service KPIs values by time. This is true because you can add KPI swim lanes to a deep dive to show the values and severity levels of one or more KPIs over time. You can also compare KPIs from different services or entities using service swapping or entity splitting.
C . Examining and comparing alert levels for KPIs in a service over time. This is true because you can add alert swim lanes to a deep dive to show the alert levels and counts for one or more KPIs over time. You can also drill down into the alert details and view the notable events associated with each alert.
D . Comparing swim lane values for a slice of time. This is true because you can use the time range selector to zoom in or out of a specific time range in a deep dive. You can also use the time brush to select a slice of time and compare the swim lane values for that time period.
The other option is not a capability of deep dives because:
A . Comparing a service's notable events over a time period. This is not true because deep dives do not display notable events, which are alerts generated by ITSI based on certain conditions or correlations. Notable events are displayed in other dashboards, such as episode review or glass tables.
What is the default importance value for dependent services' health scores?
By default, impacting service health scores have an importance value of 11.
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 health score. 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.