[May 15, 2026] Get New SPLK-3002 Certification – Valid Exam Dumps Questions
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Splunk SPLK-3002 exam is a proctored exam that is administered online. SPLK-3002 exam consists of 60 multiple-choice questions that must be completed within 90 minutes. SPLK-3002 exam fee is $200, and the exam can be taken at any time through the Splunk certification portal. Candidates are required to achieve a passing score of 70% or higher to obtain the certification.
NEW QUESTION # 41
Which of the following is a best practice when configuring maintenance windows?
- A. Disable any glass tables that reference a KPI that is part of an open maintenance window.
- B. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- C. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
- D. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
Answer: B
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.
Reference:
A maintenance window is a period of time when a service or entity is undergoing maintenance operations or does not require active monitoring. It is 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. For example, if a server will be shut down for maintenance at 1:00PM and restarted at 5:00PM, the ideal maintenance window is 12:30PM to 5:30PM. The 15- to 30-minute time buffer is a rough estimate based on 15 minutes being the time period over which most KPIs are configured to search data and identify alert triggers. Reference: Overview of maintenance windows in ITSI
NEW QUESTION # 42
Which of the following is a best practice when configuring maintenance windows?
- A. Disable any glass tables that reference a KPI that is part of an open maintenance window.
- B. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- C. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
- D. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
Answer: B
Explanation:
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.
NEW QUESTION # 43
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?
- A. Gear Icon
- B. Blue
- C. Purple
- D. Gray
Answer: D
Explanation:
Explanation
Services, entities, and KPIs that are fully or partially impacted by a maintenance window appear in a dark gray color on pages that display health scores, including service analyzers, service and entity details pages, glass tables, multi-KPI alerts, and deep dives.
NEW QUESTION # 44
What happens when an anomaly is detected?
- A. A SNMP trap will be sent.
- B. A separate correlation search needs to be created in order to see it.
- C. An anomaly alert will appear in core splunk, in index=main.
- D. An anomaly alert will appear as a notable event in Episode Review.
Answer: D
Explanation:
When an anomaly is detected in Splunk IT Service Intelligence (ITSI), it typically generates a notable event that can be reviewed and managed in the Episode Review dashboard. The Episode Review is part of ITSI's Event Analytics framework and serves as a centralized location for reviewing, annotating, and managing notable events, including those generated by anomaly detection. This process enables IT operators and analysts to efficiently identify, prioritize, and respond to potential issues highlighted by the anomaly alerts.
The integration of anomaly alerts into the Episode Review dashboard streamlines the workflow for managing and investigating these alerts within the broader context of IT service management and operational intelligence.
NEW QUESTION # 45
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
- A. Creating glass tables.
- B. Correlation search creation.
- C. Service swapping configuration.
- D. Adding KPI metric lanes to glass tables.
Answer: A,C,D
Explanation:
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.
Reference:
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]
NEW QUESTION # 46
Which of the following are characteristics of service templates? (select all that apply)
- A. Service templates contain KPIs and KPI thresholds.
- B. Service templates can be modified after services are instantiated from it.
- C. Service templates contain domain specific dashboards and deep dives.
- D. Service templates can contain specific or generic entity rules.
Answer: A,D
Explanation:
Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:
B) Service templates contain KPIs and KPI thresholds: This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.
C) Service templates can contain specific or generic entity rules: These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.
While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.
NEW QUESTION # 47
To use Adaptive Threshholding, what is the minimum requirement for a set of KPI data?
- A. 14 days old.
- B. 7 days old.
- C. 10 days old.
- D. 30 days old.
Answer: B
Explanation:
To utilize Adaptive Thresholding in Splunk IT Service Intelligence (ITSI), the minimum requirement for a set of Key Performance Indicator (KPI) data is that it must be at least 7 days old. Adaptive Thresholding uses historical data to dynamically adjust thresholds based on observed patterns and trends. Having a minimum of 7 days worth of data allows the system to analyze a sufficient amount of information to identify normal ranges and variances in KPI behavior, thereby setting more accurate and contextually relevant thresholds. This requirement ensures that the adaptive thresholds are based on a meaningful data set that reflects the typical operational conditions of the monitored services.
NEW QUESTION # 48
Which capabilities are enabled through "teams"?
- A. Teams restrict searches against the itsi_notable_audit index.
- B. Teams restrict notable event alert actions.
- C. Teams allow searches against the itsi_summary index.
- D. Teams allow restrictions to service content in UI views.
Answer: D
Explanation:
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.
References: Overview of teams in ITSI
NEW QUESTION # 49
Which of the following describes entities? (Choose all that apply.)
- A. Entities must be IT devices, such as routers and switches, and must be identified by either IP value, host name, or mac address.
- B. Multiple entities can share the same alias value, but must have different role values.
- C. To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service".
- D. An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service.
Answer: C,D
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/KPIfilter Entities are IT components that require management to deliver an IT service. Each entity has specific attributes and relationships to other IT processes that uniquely identify it. Entities contain alias fields and informational fields that ITSI associates with indexed events. Some statements that describe entities are:
B). An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service. An abstract entity is an entity that does not represent a physical host or device, but rather a logical grouping of data sources. For example, you can create an abstract entity for each business unit in your organization and use it to split by for a KPI that measures revenue or customer satisfaction. However, you cannot use entity rules or filtering to limit data to a specific service based on abstract entities, because they do not have alias fields that match indexed events.
D). To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service". This option allows you to filter the data sources for a KPI by the entities that are assigned to the service. For example, if you have a service for web servers and you want to monitor the CPU load percent for each web server entity, you can select this option to ensure that only the events from those entities are used for the KPI calculation.
References: Overview of entity integrations in ITSI, [Create KPI base searches in ITSI]
NEW QUESTION # 50
In distributed search, which components need to be installed on instances other than the search head?
- A. SA-ITSI-Licensechecker on indexers.
- B. SA-IndexCreation and SA-ITOA on indexers; SA-ITSI-Licensechecker and SA-UserAccess on the license master.
- C. SA-IndexCreation on idexers; SA-ITSI-Licensechecker and SA-UserAccess on the license master.
- D. SA-IndexCreation and SA-ITSI-Licensechecker on indexers.
Answer: D
Explanation:
SA-IndexCreation is required on all indexers. For non-clustered, distributed environments, copy SA- IndexCreation to $SPLUNK_HOME/etc/apps/ on individual indexers.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Install/InstallDD In distributed search, the components that need to be installed on instances other than the search head are SA- IndexCreation and SA-ITSI-Licensechecker on indexers. SA-IndexCreation is an add-on that creates the indexes required by ITSI, such as itsi_summary and itsi_tracked_alerts. SA-ITSI-Licensechecker is an add-on that monitors the license usage of ITSI and generates alerts when the license limit is exceeded or about to expire. These components need to be installed on indexers because they handle the data ingestion and storage functions for ITSI. The other components, such as ITSI app and SA-ITOA, need to be installed on the search head(s) because they handle the search management and presentation functions for ITSI. References: Install IT Service Intelligence in a distributed environment
NEW QUESTION # 51
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?
- A. 3 months.
- B. 1 year.
- C. 6 months.
- D. 9 months.
Answer: C
Explanation:
Explanation
By default, notable event metadata is archived after six months to keep the KV store from growing too large.
NEW QUESTION # 52
Which of the following is part of setting up a new aggregation policy?
- A. Filtering criteria
- B. Policy version
- C. Module rules
- D. Review order
Answer: A
Explanation:
When setting up a new aggregation policy in Splunk IT Service Intelligence (ITSI), one of the crucial components is defining the filtering criteria. This aspect of the aggregation policy determines which events should be included in the aggregation based on specific conditions or attributes. The filtering criteria can be based on various event fields such as severity, source, event type, and other custom fields relevant to the organization's monitoring strategy. By specifying the filtering criteria, ITSI administrators can ensure that the aggregation policy is applied only to the pertinent events, thus facilitating more targeted and effective event management and reducing noise in the operational environment. This helps in organizing and prioritizing events more efficiently, enhancing the overall incident management process within ITSI.
NEW QUESTION # 53
Which glass table feature can be used to toggle displaying KPI values from more than one service on a single widget?
- A. Ad-hoc search.
- B. Service templates.
- C. Service swapping.
- D. Service dependencies.
Answer: C
Explanation:
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 hoc searches, 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]
NEW QUESTION # 54
Which of the following applies when configuring time policies for KPI thresholds?
- A. It is possible for multiple time policies to overlap.
- B. A person can only configure 24 policies, one for each hour of the day.
- C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it.
- D. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00
Answer: D
Explanation:
Time policies are user-defined threshold values to be used at different times of the day or week to account for changing KPI workloads. Time policies accommodate normal variations in usage across your services and improve the accuracy of KPI and service health scores. For example, if your organization's peak activity is during the standard work week, you might create a KPI threshold time policy that accounts for higher levels of usage during work hours, and lower levels of usage during off-hours and weekends. The statement that applies when configuring time policies for KPI thresholds is:
B) They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00. This is true because time policies allow you to define different threshold values for different time blocks, such as AM/PM, work hours/off hours, weekdays/weekends, and so on. This way, you can account for the expected variations in your KPI data based on the time of day or week.
The other statements do not apply because:
A) A person can only configure 24 policies, one for each hour of the day. This is not true because you can configure more than 24 policies using different time block combinations, such as 3 hour block, 2 hour block, 1 hour block, and so on.
C) If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it. This is not true because time policies are designed to handle KPIs that change significantly through a cycle on a daily basis, such as web traffic volume or CPU load percent.
D) It is possible for multiple time policies to overlap. This is not true because you can only have one active time policy at any given time. When you create a new time policy, the previous time policy is overwritten and cannot be recovered.
NEW QUESTION # 55
Which of the following is a good use case regarding defining entities for a service?
- A. Automatically associate entities to services using multiple entity aliases.
- B. Being able to split a CPU usage KPI by host name.
- C. KPI total values are aggregated from multiple different category values in the source events.
- D. All of the entities have the same identifying field name.
Answer: A
Explanation:
Define entities before creating services. When you configure a service, you can specify entity matching rules based on entity aliases that automatically add the entities to your service.
Reference:
A is the correct answer because defining entities for a service allows you to automatically associate entities to services using multiple entity aliases. Entity aliases are alternative names or identifiers for an entity, such as host name, IP address, MAC address, or DNS name. ITSI matches entity aliases to fields in your data sources and assigns entities to services accordingly. This way, you can avoid manually adding entities to each service and ensure that your services reflect the latest changes in your environment. Reference: Define entities for a service in ITSI
NEW QUESTION # 56
Which step is required to install ITSI on a single Search Head?
- A. Untar the ITSI package in <splunk home>/etc/apps
- B. Run splunk_apply shcluster-bundle
- C. All of the above.
- D. Use the Splunk -> Manage Apps Dashboard to download and install.
Answer: D
Explanation:
To install Splunk IT Service Intelligence (ITSI) on a single Search Head, one of the straightforward methods is to use the Splunk Web interface, specifically the "Manage Apps" dashboard, to download and install ITSI. This method is user-friendly and does not require manual file handling or command-line operations. By navigating to "Manage Apps" in the Splunk Web interface, users can find ITSI in the app repository or upload the ITSI installation package if it has been downloaded previously. From there, the installation process is initiated through the Splunk Web interface, simplifying the setup process. This approach ensures that the installation follows Splunk's standard app installation procedures, helping to avoid common installation errors and ensuring that ITSI is correctly integrated into the Splunk environment.
NEW QUESTION # 57
In distributed search, which components need to be installed on instances other than the search head?
- A. SA-ITSI-Licensechecker on indexers.
- B. SA-IndexCreation and SA-ITOA on indexers; SA-ITSI-Licensechecker and SA-UserAccess on the license master.
- C. SA-IndexCreation on idexers; SA-ITSI-Licensechecker and SA-UserAccess on the license master.
- D. SA-IndexCreation and SA-ITSI-Licensechecker on indexers.
Answer: D
NEW QUESTION # 58
Which views would help an analyst identify that a memory usage KPI is going critical? (select all that apply)
- A. Memory swim lane in a Deep Dive.
- B. Service & KPI tiles in the Service Analyzer.
- C. Memory panel of the OS Host Details view in the Operating System module.
- D. Memory KPI in a glass table.
Answer: A,B,C,D
Explanation:
To identify that a memory usage KPI is going critical, an analyst can leverage multiple views within Splunk IT Service Intelligence (ITSI), each offering a different perspective or level of detail:
A) Memory KPI in a glass table: A glass table can display the current status of the memory usage KPI, along with other related KPIs and services, providing a high-level overview of system health.
B) Memory panel of the OS Host Details view in the Operating System module: This specific panel within the OS Host Details view offers detailed metrics and trends related to memory usage, allowing for in-depth analysis.
C) Memory swim lane in a Deep Dive: Deep Dives allow analysts to visually track the performance and status of KPIs over time. A swim lane dedicated to memory usage can highlight periods where the KPI goes critical, along with the context of other related KPIs.
D) Service & KPI tiles in the Service Analyzer: The Service Analyzer provides a comprehensive overview of all services and their KPIs. The tiles related to memory usage can quickly alert analysts to critical conditions through color-coded indicators.
Each of these views contributes to a comprehensive monitoring strategy, enabling analysts to detect and respond to critical memory usage conditions from various analytical perspectives.
NEW QUESTION # 59
When deploying ITSI on a distributed Splunk installation, which component must be installed on the search head(s)?
- A. All ITSI components
- B. ITSI app
- C. SA-ITSI-Licensechecker
- D. SA-ITOA
Answer: B
Explanation:
Install SA-ITSI-Licensechecker and SA-UserAccess on any license master in a distributed or search head cluster environment. If a search head in your environment is also a license master, the license master components are installed when you install ITSI on the search heads.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Install/InstallDD When deploying ITSI on a distributed Splunk installation, the component that must be installed on the search head(s) is the ITSI app. The ITSI app contains the main features and functionality of ITSI, such as service creation and management, KPI configuration, glass table creation and editing, episode review, deep dives, and so on. The ITSI app also contains some add-ons that provide additional functionality, such as SA-ITOA (IT Operations Analytics), SA-UserAccess (User Access Management), and SA-Utils (Utility Functions). The ITSI app must be installed on the search head(s) because it handles the search management and presentation functions for ITSI. References: Install IT Service Intelligence in a distributed environment
NEW QUESTION # 60
Which of the following is a characteristic of notable event groups?
- A. All of the above.
- B. Notable event groups combine independent notable events.
- C. Notable event groups allow users to adjust threshold settings.
- D. Notable event groups are created in the itsi_tracked_alerts index.
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), notable event groups are used to logically group related notable events, which enhances the manageability and analysis of events:
A) Notable event groups combine independent notable events: This characteristic allows for the aggregation of related events into a single group, making it easier for users to manage and investigate related issues. By grouping events, users can focus on the broader context of an issue rather than getting lost in the details of individual events.
While notable event groups play a critical role in organizing and managing events in ITSI, they do not inherently allow users to adjust threshold settings, which is typically handled at the KPI or service level. Additionally, while notable event groups are utilized within the ITSI framework, the statement that they are created in the 'itsi_tracked_alerts' index might not fully capture the complexity of how event groups are managed and stored within the ITSI architecture.
NEW QUESTION # 61
Anomaly detection can be enabled on which one of the following?
- A. Multi-KPI alert
- B. Entity
- C. KPI
- D. Service
Answer: C
Explanation:
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. References: Apply anomaly detection to a KPI in ITSI
NEW QUESTION # 62
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