Splunk SPLK-3002 Practice Exams
Last updated on Oct 06,2026- Exam Code: SPLK-3002
- Exam Name: Splunk IT Service Intelligence Certified Admin Exam
- Certification Provider: Splunk
- Latest update: Oct 06,2026
Question #101
There are two Smart Mode configuration settings that control how fields affect grouping.
Which of these is correct?
- A . Text deviation and category deviation.
- B . Text similarity and category deviation.
- C . Text similarity and category similarity.
- D . Text deviation and category similarity.
Correct Answer: C
C
Explanation:
In the context of Smart Mode configuration within Splunk IT Service Intelligence (ITSI), the two settings that control how fields affect grouping are "Text similarity" and "Category similarity." Smart Mode is a feature used in event grouping that leverages machine learning to automatically group related events. "Text similarity" refers to how closely the textual content of event fields must match for those events to be grouped together, taking into account commonalities in strings or narratives within the event data. "Category similarity," on the other hand, relates to the similarity in the categorical attributes of events, such as event types or source types, which helps in clustering events that are similar in nature or origin. Both of these settings are crucial in determining how events are grouped in ITSI, influencing the granularity and relevance of the event groupings based on textual and categorical similarities.
C
Explanation:
In the context of Smart Mode configuration within Splunk IT Service Intelligence (ITSI), the two settings that control how fields affect grouping are "Text similarity" and "Category similarity." Smart Mode is a feature used in event grouping that leverages machine learning to automatically group related events. "Text similarity" refers to how closely the textual content of event fields must match for those events to be grouped together, taking into account commonalities in strings or narratives within the event data. "Category similarity," on the other hand, relates to the similarity in the categorical attributes of events, such as event types or source types, which helps in clustering events that are similar in nature or origin. Both of these settings are crucial in determining how events are grouped in ITSI, influencing the granularity and relevance of the event groupings based on textual and categorical similarities.
Question #102
Which of the following statements is accurate when using multiple policies?
- A . New policies are applied after the default policy.
- B . Policy processing is applied in a defined order.
- C . An event can be processed by only a single policy.
- D . New policies are applied before the default policy.
Correct Answer: B
B
Explanation:
In Splunk IT Service Intelligence (ITSI), when using multiple event management policies, it is important to understand that policy processing is applied in a defined order. This order is crucial because it determines how events are processed and aggregated, and which rules are applied to events first. The order of policies can be customized, allowing administrators to prioritize certain policies over others based on the specific needs and operational logic of their IT environment. This feature provides flexibility in event management, enabling more precise control over event processing and ensuring that the most critical events are handled according to the desired precedence. This structured approach to policy processing helps in maintaining the efficiency and effectiveness of event management within ITSI.
B
Explanation:
In Splunk IT Service Intelligence (ITSI), when using multiple event management policies, it is important to understand that policy processing is applied in a defined order. This order is crucial because it determines how events are processed and aggregated, and which rules are applied to events first. The order of policies can be customized, allowing administrators to prioritize certain policies over others based on the specific needs and operational logic of their IT environment. This feature provides flexibility in event management, enabling more precise control over event processing and ensuring that the most critical events are handled according to the desired precedence. This structured approach to policy processing helps in maintaining the efficiency and effectiveness of event management within ITSI.
Question #103
In maintenance mode, which features of KPIs still function?
- A . KPI searches will execute but will be buffered until the maintenance window is over.
- B . KPI searches still run during maintenance mode, but results go to itsi_maintenance_summary index.
- C . New KPIs can be created, but existing KPIs are locked.
- D . KPI calculations and threshold settings can be modified.
Correct Answer: A
A
Explanation:
It’s a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW
A is the correct answer because KPI searches still run during maintenance mode, but the results are buffered until the maintenance window is over. This means that no alerts are triggered during maintenance mode, but once it ends, the buffered results are processed and alerts are generated if necessary. You cannot create new KPIs or modify existing KPIs during maintenance mode.
Reference: [Overview of maintenance windows in ITSI]
A
Explanation:
It’s a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW
A is the correct answer because KPI searches still run during maintenance mode, but the results are buffered until the maintenance window is over. This means that no alerts are triggered during maintenance mode, but once it ends, the buffered results are processed and alerts are generated if necessary. You cannot create new KPIs or modify existing KPIs during maintenance mode.
Reference: [Overview of maintenance windows in ITSI]
Question #104
Which scenario would benefit most by implementing ITSI?
- A . Monitoring of business services functionality.
- B . Monitoring of system hardware.
- C . Monitoring of system process statuses
- D . Monitoring of retail sales metrics.
Correct Answer: A
A
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AboutSI
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?
A
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AboutSI
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?