[Jan 08, 2026] Free Splunk SPLK-3002 Exam Questions and Answer
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How to Register for the Splunk SPLK-3002 Certification
To register for the Splunk SPLK-3002 certification, you can either take the exam at a Pearson VUE testing center or you can take it online. The cost is $125. You can register online at Pearson VUE. The registration process is similar to registering to take any other exam at a Pearson VUE testing center. you'll just select the “Splunk SPLK-3002” exam from the drop-down menu of available exams. After you've registered with Pearson VUE, you'll receive an e-mail confirmation that includes information on how to schedule your appointment at a convenient time and location.
Splunk SPLK-3002 exam is intended for IT professionals who are responsible for monitoring and managing the performance of IT services in their organization. Candidates who pass SPLK-3002 exam will be able to leverage the capabilities of ITSI to identify and resolve issues related to IT service performance, availability, and reliability. They will also be able to create customized dashboards and reports that provide insights into the health of their IT services.
NEW QUESTION # 28
How should entities be handled during the data audit phase of requirements gathering?
- A. Entities identified should be included in the entity filtering requirements, such as 'by processld' or 'by host'.
- B. Entity meta-data for info and aliases should be identified and recorded as requirements.
- C. Entities should be noted based upon Service KPI requirements such as 'by host' or 'by product line'.
- D. Entities must be identified for every Service KPI defined and recorded in requirements.
Answer: B
Explanation:
During the data audit phase of requirements gathering for Splunk IT Service Intelligence (ITSI), it's crucial to identify and record the meta-data for entities, focusing on information (info) and aliases. This step involves understanding and documenting the key attributes and identifiers that describe each entity, such as host names, IP addresses, device types, or other relevant characteristics. These attributes are used to categorize and uniquely identify entities within ITSI, enabling more effective mapping of data to services and KPIs. By meticulously recording this meta-data, organizations ensure that their ITSI implementation is aligned with their specific monitoring needs and infrastructure, facilitating accurate service modeling and event management. This practice is foundational for setting up ITSI to reflect the actual IT environment, enhancing the relevance and effectiveness of the monitoring and analysis capabilities.
NEW QUESTION # 29
When working with a notable event group in the Notable Events Review dashboard, which of the following can be set at the individual or group level?
- A. Severity, status, service.
- B. Service, status, owner.
- C. Severity, status, owner.
- D. Severity, comments, service.
Answer: C
Explanation:
In the Notable Events Review dashboard within Splunk IT Service Intelligence (ITSI), when working with a notable event group, users can set or adjust certain attributes at the individual event level or at the group level. These attributes include:
Severity: The importance or impact level of the notable event or group, which can be adjusted to reflect the current assessment of the situation.
Status: The current state of the notable event or group, such as "New," "In Progress," or "Resolved," indicating the progress in addressing the event or group.
Owner: The user or team responsible for managing and resolving the notable event or group.
These settings allow for effective management and tracking of notable events, ensuring that they are appropriately prioritized, acted upon, and resolved by the responsible parties.
NEW QUESTION # 30
Which index will contain useful error messages when troubleshooting ITSI issues?
- A. _introspection
- B. itsi_summary
- C. itsi_notable_audit
- D. _internal
Answer: D
NEW QUESTION # 31
Which of the following is a good use case for creating a custom module?
- A. Modules are required to create entity and service import searches.
- B. Modules are required to be able to create custom visualizations for deep dives.
- C. Creating a service template to make it easy to automatically create new services during service and entity import.
- D. Making it easy to migrate KPI base searches and related visualizations to other ITSI installations.
Answer: D
Explanation:
Creating a custom module in Splunk IT Service Intelligence (ITSI) is particularly beneficial for the purpose of migrating KPI base searches and related visualizations to other ITSI installations. Custom modules can encapsulate a set of configurations, searches, and visualizations that are tailored to specific monitoring needs or environments. By packaging these elements into a module, it becomes easier to transfer, deploy, and maintain consistency across different ITSI instances. This modularity supports the reuse of developed components, simplifying the process of scaling and replicating monitoring setups in diverse operational contexts. The ability to migrate these components seamlessly enhances operational efficiency and ensures that best practices and custom configurations can be shared across an organization's ITSI deployments.
NEW QUESTION # 32
Which of the following is a characteristic of notable event groups?
- A. Notable event groups allow users to adjust threshold settings.
- B. Notable event groups are created in the itsi_tracked_alerts index.
- C. Notable event groups combine independent notable events.
- D. All of the above.
Answer: C
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 # 33
Which of the following is an advantage of using adaptive time thresholds?
- A. Automatically adjust correlation search thresholds to adjust sensitivity over time.
- B. Automatically update thresholds daily to manage dynamic changes to KPI values.
- C. Automatically adjust aggregation policy grouping to manage escalating severity.
- D. Automatically adjust KPI calculation to manage dynamic event data.
Answer: B
Explanation:
Reference:
Adaptive thresholds are thresholds calculated by machine learning algorithms that dynamically adapt and change based on the KPI's observed behavior. Adaptive thresholds are useful for monitoring KPIs that have unpredictable or seasonal patterns that are difficult to capture with static thresholds. For example, you might use adaptive thresholds for a KPI that measures web traffic volume, which can vary depending on factors such as holidays, promotions, events, and so on. The advantage of using adaptive thresholds is:
A) Automatically update thresholds daily to manage dynamic changes to KPI values. This is true because adaptive thresholds use historical data from a training window to generate threshold values for each time block in a threshold template. Each night at midnight, ITSI recalculates adaptive threshold values for a KPI by organizing the data from the training window into distinct buckets and then analyzing each bucket separately. This way, the thresholds reflect the most recent changes in the KPI data and account for any anomalies or trends.
The other options are not advantages of using adaptive thresholds because:
B) Automatically adjust KPI calculation to manage dynamic event data. This is not true because adaptive thresholds do not affect the KPI calculation, which is based on the base search and the aggregation method. Adaptive thresholds only affect the threshold values that are used to determine the KPI severity level.
C) Automatically adjust aggregation policy grouping to manage escalating severity. This is not true because adaptive thresholds do not affect the aggregation policy, which is a set of rules that determines how to group notable events into episodes. Adaptive thresholds only affect the threshold values that are used to generate notable events based on KPI severity level.
D) Automatically adjust correlation search thresholds to adjust sensitivity over time. This is not true because adaptive thresholds do not affect the correlation search, which is a search that looks for relationships between data points and generates notable events. Adaptive thresholds only affect the threshold values that are used by KPIs, which can be used as inputs for correlation searches.
NEW QUESTION # 34
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
- B. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
- C. Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
- D. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
Answer: A,C
NEW QUESTION # 35
Anomaly detection can be enabled on which one of the following?
- A. Entity
- B. KPI
- C. Multi-KPI alert
- D. Service
Answer: B
Explanation:
Explanation
Enable anomaly detection to identify trends and outliers in KPI search results that might indicate an issue with your system.
NEW QUESTION # 36
In Episode Review, what is the result of clicking an episode's Acknowledge button?
- A. Change status from New to In Progress and assign the current user as owner.
- B. Assign the current user as owner.
- C. Change status from New to Acknowledged and assign the current user as owner.
- D. Change status from New to Acknowledged.
Answer: A
Explanation:
Explanation
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
NEW QUESTION # 37
Which glass table feature can be used to toggle displaying KPI values from more than one service on a single widget?
- A. Service swapping.
- B. Service dependencies.
- C. Ad-hoc search.
- D. Service templates.
Answer: C
NEW QUESTION # 38
Which of the following is a valid type of Multi-KPI Alert?
- A. Value over time.
- B. Score over composite.
- C. Rise over run.
- D. Status over time.
Answer: D
NEW QUESTION # 39
Which of the following is a characteristic of custom deep dives?
- A. Uses drilldown to generate notable events via anomaly detection.
- B. Allows itoa_analyst roles to add comments.
- C. Requires at least 7 days' data to show anomalies.
- D. Combines metric, event, KPI, and service health score lanes.
Answer: D
Explanation:
Custom deep dives in Splunk IT Service Intelligence (ITSI) are versatile and highly customizable dashboards that allow users to analyze various types of data in a unified view. One of the key characteristics of custom deep dives is their ability to combine lanes of different data types, such as metrics, events, Key Performance Indicators (KPIs), and service health scores. This multifaceted approach provides a comprehensive and layered view of the IT environment, enabling analysts and operators to correlate different data types and gain deeper insights into the health and performance of services. By incorporating these diverse data lanes, custom deep dives facilitate a more holistic understanding of the operational landscape, aiding in more effective troubleshooting and decision-making.
NEW QUESTION # 40
Which of the following is a recommended best practice for service and glass table design?
- A. Start with base searches, then services, and then glass tables.
- B. Plan and implement services first, then build detailed glass tables.
- C. Design glass tables first to discover which KPIs are important.
- D. Always use the standard icons for glass table widgets to improve portability.
Answer: C
NEW QUESTION # 41
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
- A. Maintenance windows
- B. Anomaly detection.
- C. Correlation searches.
- D. Adaptive thresholding.
Answer: D
Explanation:
B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. Reference: Configure adaptive thresholding for a KPI in ITSI
NEW QUESTION # 42
When changing a service template, which of the following will be added to linked services by default?
- A. Health score.
- B. Thresholds.
- C. New KPIs.
- D. Entity Rules.
Answer: C
Explanation:
C) New KPIs. This is true because when you add new KPIs to a service template, they will be automatically added to all the services that are linked to that template. This helps you keep your services consistent and up-to-date with the latest KPI definitions.
The other options will not be added to linked services by default because:
A) Thresholds. This is not true because when you change thresholds in a service template, they will not affect the existing thresholds in the linked services. You need to manually apply the threshold changes to each linked service if you want them to inherit the new thresholds from the template.
B) Entity rules. This is not true because when you change entity rules in a service template, they will not affect the existing entity rules in the linked services. You need to manually apply the entity rule changes to each linked service if you want them to inherit the new entity rules from the template.
D) Health score. This is not true because when you change health score settings in a service template, they will not affect the existing health score settings in the linked services. You need to manually apply the health score changes to each linked service if you want them to inherit the new health score settings from the template.
NEW QUESTION # 43
Which of the following is a problem requiring correction in ITSI?
- A. Two or more entities with the same value in a single alias field.
- B. Two or more entities with the same service ID.
- C. Two or more entities with the same entity key value in any info field.
- D. Two or more entities with the same entity ID.
Answer: A
Explanation:
In Splunk IT Service Intelligence (ITSI), entities represent infrastructure components, applications, or other elements that are monitored. Each entity is uniquely identified by its entity ID, and entities can be associated with one or more services through the concept of aliases. A problem arises when two or more entities have the same value in a single alias field because aliases are used to match events to entities in ITSI. If multiple entities share the same alias value, ITSI might incorrectly associate data with the wrong entity, leading to inaccurate monitoring and analytics. This scenario requires correction to ensure that each alias uniquely identifies a single entity, thereby maintaining the integrity of the monitoring and analysis process within ITSI. The uniqueness of service IDs, entity IDs, and entity key values in info fields is also important but does not typically present the same level of issue as duplicate values in an alias field.
NEW QUESTION # 44
Which of the following is a good use case regarding defining entities for a service?
- A. All of the entities have the same identifying field name.
- B. KPI total values are aggregated from multiple different category values in the source events.
- C. Being able to split a CPU usage KPI by host name.
- D. Automatically associate entities to services using multiple entity aliases.
Answer: D
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 # 45
Which of the following is a valid type of Multi-KPI Alert?
- A. Score over composite.
- B. Rise over run.
- C. Status over time.
- D. Value over time.
Answer: D
Explanation:
Reference:
B is the correct answer because value over time is a valid type of Multi-KPI Alert in ITSI. A Multi-KPI Alert is a type of alert that triggers when multiple KPIs from one or more services meet certain conditions within a specified time range. Value over time is a condition that compares the current value of a KPI to its previous values over a specified time range. For example, you can create a Multi-KPI Alert that triggers when the CPU usage and memory usage of a service are both higher than their average values in the last 24 hours. Reference: [Create Multi-KPI alerts in ITSI], [Multi-KPI alert conditions in ITSI]
NEW QUESTION # 46
Which ITSI components are required before a module can be created?
- A. One or more services with KPIs and their associated base searches.
- B. One or more entity import saved searches.
- C. One or more correlation searches and their associated entities.
- D. One or more datamodels.
Answer: D
Explanation:
Before a module can be created in Splunk IT Service Intelligence (ITSI), it is essential to have one or more datamodels established. Datamodels in Splunk provide a structured format for organizing and interpreting data, which is crucial for modules within ITSI. Modules often rely on datamodels to extract, transform, and present data in a meaningful way, especially when dealing with complex datasets across various sources. Datamodels serve as the foundation for the module's ability to categorize and analyze data efficiently, enabling the creation of KPIs, services, and visualizations that are aligned with the specific needs of the module. Having these datamodels in place ensures that the module can function correctly and provide valuable insights into the monitored IT environments.
NEW QUESTION # 47
Which scenario would benefit most by implementing ITSI?
- A. Monitoring of retail sales metrics.
- B. Monitoring of system process statuses
- C. Monitoring of system hardware.
- D. Monitoring of business services functionality.
Answer: D
Explanation:
Reference:
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?
NEW QUESTION # 48
Within a correlation search, dynamic field values can be specified with what syntax?
- A. eval(fieldname)
- B. %fieldname%
- C. fieldname
- D. <fieldname /fieldname>
Answer: D
Explanation:
Reference:
B is the correct answer because dynamic field values can be specified with <fieldname /fieldname> syntax within a correlation search. This syntax allows you to insert values from fields returned by the correlation search into alert actions such as email subject or body. For example, <host /host> inserts the value of the host field into the email. Reference: [Use dynamic field values in correlation searches in ITSI]
NEW QUESTION # 49
In distributed search, which components need to be installed on instances other than the search head?
- A. SA-IndexCreation and 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-ITSI-Licensechecker on indexers.
Answer: A
NEW QUESTION # 50
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