Valid SPLK-3002 Practice Test Dumps with 100% Passing Guarantee [Dec-2025] SPLK-3002 PDF Dumps Are Helpful To produce Your Dreams Correct QA's Splunk IT Service Intelligence Certified Admin exam is designed for IT professionals who are responsible for deploying, configuring, and managing ITSI. SPLK-3002 exam tests candidates on their knowledge and skills in areas such as ITSI architecture, data ingestion, [...]

[Q28-Q44] Valid SPLK-3002 Practice Test Dumps with 100% Passing Guarantee [Dec-2025]

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Valid SPLK-3002 Practice Test Dumps with 100% Passing Guarantee [Dec-2025]

SPLK-3002 PDF Dumps Are Helpful To produce Your Dreams Correct QA's


Splunk IT Service Intelligence Certified Admin exam is designed for IT professionals who are responsible for deploying, configuring, and managing ITSI. SPLK-3002 exam tests candidates on their knowledge and skills in areas such as ITSI architecture, data ingestion, service modeling, KPIs and thresholds, alerting and remediation, and dashboard creation. Passing SPLK-3002 exam demonstrates that an individual has the expertise to effectively use and administer ITSI.

 

NEW QUESTION # 28
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 # 29
Which of the following accurately describes base searches used for KPIs in a service?

  • A. Base searches can be used for multiple services.
  • B. All the KPIs in a service use the same base search.
  • C. A base search can only be used by its service and all dependent services.
  • D. All the metrics in a base search are used by one service.

Answer: A

Explanation:
Explanation
KPI base searches let you share a search definition across multiple KPIs in IT Service Intelligence (ITSI).
Create base searches to consolidate multiple similar KPIs, reduce search load, and improve search performance.


NEW QUESTION # 30
Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)

  • A. Examining and comparing alert levels for KPIs in a service over time.
  • B. Visualizing one or more Service KPIs values by time.
  • C. Comparing swim lane values for a slice of time.
  • D. Comparing a service's notable events over a time period.

Answer: A,B,C


NEW QUESTION # 31
Which of the following are deployment recommendations for ITSI? (Choose all that apply.)

  • A. Deployments often require an increase of hardware resources above base Splunk requirements.
  • B. Deployments may increase the number of required indexers based on the number of KPI searches.
  • C. Deployments should use fastest possible disk arrays for indexers.
  • D. Deployments require a dedicated ITSI search head.

Answer: A,B,D

Explanation:
Explanation
You might need to increase the hardware specifications of your own Enterprise Security deployment above the minimum hardware requirements depending on your environment.
Install Splunk Enterprise Security on a dedicated search head or search head cluster.
The Splunk platform uses indexers to scale horizontally. The number of indexers required in an Enterprise Security deployment varies based on the data volume, data type, retention requirements, search type, and search concurrency.


NEW QUESTION # 32
Which of the following statements describe default glass tables in ITSI?

  • A. The Service Health Score default glass table.
  • B. There is one service template default glass table.
  • C. There are no default glass tables.
  • D. There is one default glass table per service.

Answer: C

Explanation:
In Splunk IT Service Intelligence (ITSI), glass tables are fully customizable dashboards that provide a visual representation of an organization's IT environment, along with the health and status of services and KPIs. Unlike some pre-configured views or dashboards that might come with default setups in various platforms, ITSI does not provide default glass tables out of the box. Instead, users are encouraged to create their own glass tables tailored to their specific monitoring needs and operational views. This approach ensures that each organization can design glass tables that best represent their unique infrastructure, applications, and service landscapes, providing a more personalized and relevant operational overview.


NEW QUESTION # 33
What is an episode?

  • A. A workflow task.
  • B. A notable event.
  • C. A deep dive.
  • D. A notable event group.

Answer: B

Explanation:
Explanation
It's a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation.


NEW QUESTION # 34
Within a correlation search, dynamic field values can be specified with what syntax?

  • A. eval(fieldname)
  • B. %fieldname%
  • C. <fieldname /fieldname>
  • D. fieldname

Answer: D


NEW QUESTION # 35
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?

  • A. 9 months.
  • B. 6 months.
  • C. 1 year.
  • D. 3 months.

Answer: B

Explanation:
Explanation
By default, notable event metadata is archived after six months to keep the KV store from growing too large.


NEW QUESTION # 36
When installing ITSI to support a Distributed Search Architecture, which of the following items apply?
(Choose all that apply.)

  • A. Extract installer package into etc/apps directory of the cluster deployer node.
  • B. Copy SA-IndexCreation to the etc/apps directory on the index cluster master node.
  • C. Extract ITSI app package into etc/apps directory of search head.
  • D. Copy SA-IndexCreation to all indexers.

Answer: D

Explanation:
Explanation
Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.


NEW QUESTION # 37
Which of the following best describes a default deep dive?

  • A. It initially shows all of the KPIs for a selected service.
  • B. It initially shows all the entity swim lanes.
  • C. It initially shows the highest importance KPIs.
  • D. It initially shows the health scores for all services.

Answer: A

Explanation:
Reference:
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]


NEW QUESTION # 38
Where are KPI search results stored?

  • A. The default index.
  • B. KV Store.
  • C. Output to a CSV lookup.
  • D. The itsi_summary index.

Answer: D

Explanation:
Search results are processed, created, and written to the itsi_summary index via an alert action.
Reference:
D is the correct answer because KPI search results are stored in the itsi_summary index in ITSI. This index is an events index that stores the results of scheduled KPI searches. Summary indexing lets you run fast searches over large data sets by spreading out the cost of a computationally expensive report over time. Reference: Overview of ITSI indexes


NEW QUESTION # 39
Which of the following is an advantage of an adaptive time threshold?

  • A. Automatically alerting when KPI value patterns change over time.
  • B. Automatically adjusting thresholds as normal KPI values change over time.
  • C. Automatically adjusting to holiday schedules.
  • D. Automatically predicting future degradation of KPI values over time.

Answer: B

Explanation:
An adaptive time threshold in the context of Splunk IT Service Intelligence (ITSI) refers to the capability of dynamically adjusting threshold values for Key Performance Indicators (KPIs) based on historical data trends and patterns. This feature allows thresholds to evolve as the 'normal' behavior of KPIs changes over time, ensuring that alerts remain relevant and reduce the likelihood of false positives or negatives. The advantage of this approach is that it accommodates for natural fluctuations in KPI values that may occur due to changes in business operations, seasonality, or other factors, without requiring manual threshold adjustments. This makes the monitoring system more resilient and responsive to actual conditions, improving the overall effectiveness of IT operations management.


NEW QUESTION # 40
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)

  • A. ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.
  • B. ITSI backups are stored as a collection of JSON formatted files.
  • C. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
  • D. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.

Answer: B,D

Explanation:
ITSI provides a kvstore_to_json.py script that lets you backup/restore ITSI configuration data, perform bulk service KPI operations, apply time zone offsets for ITSI objects, and regenerate KPI search schedules.
When you run a backup job, ITSI saves your data to a set of JSON files compressed into a single ZIP file.
Reference:
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/kvstorejson
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/BackupandRestoreITSIconfig C and D are correct answers because ITSI backup and restore functionality uses kvstore_to_json.py as a command line script or as part of custom scripts to backup ITSI data for full or partial backups. ITSI backups are also stored as a collection of JSON formatted files that contain KV store objects such as services, KPIs, glass tables, etc. A is not a correct answer because there is no pre-configured default ITSI backup job provided. You can create your own backup jobs or use the command line script or custom scripts to backup ITSI data. B is not a correct answer because ITSI backup is not inclusive of index dependencies. ITSI backup only includes KV store objects and optionally some .conf files. You need to use other methods to backup index data. Reference: [Overview of backing up and restoring ITSI KV store data], [Create a full backup of ITSI], [Create a partial backup of ITSI]


NEW QUESTION # 41
Which of the following are deployment recommendations for ITSI? (Choose all that apply.)

  • A. Deployments often require an increase of hardware resources above base Splunk requirements.
  • B. Deployments may increase the number of required indexers based on the number of KPI searches.
  • C. Deployments should use fastest possible disk arrays for indexers.
  • D. Deployments require a dedicated ITSI search head.

Answer: A,B,D

Explanation:
You might need to increase the hardware specifications of your own Enterprise Security deployment above the minimum hardware requirements depending on your environment.
Install Splunk Enterprise Security on a dedicated search head or search head cluster.
The Splunk platform uses indexers to scale horizontally. The number of indexers required in an Enterprise Security deployment varies based on the data volume, data type, retention requirements, search type, and search concurrency.
Reference:
A, B, and C are correct answers because ITSI deployments often require more hardware resources than base Splunk requirements due to the high volume of data ingestion and processing. ITSI deployments also require a dedicated search head that runs the ITSI app and handles all ITSI-related searches and dashboards. ITSI deployments may also increase the number of required indexers based on the number and frequency of KPI searches, which can generate a large amount of summary data. Reference: ITSI deployment overview, ITSI deployment planning


NEW QUESTION # 42
Which of the following accurately describes base searches used for KPIs in a service?

  • A. Base searches can be used for multiple services.
  • B. All the KPIs in a service use the same base search.
  • C. A base search can only be used by its service and all dependent services.
  • D. All the metrics in a base search are used by one service.

Answer: A

Explanation:
KPI base searches let you share a search definition across multiple KPIs in IT Service Intelligence (ITSI). Create base searches to consolidate multiple similar KPIs, reduce search load, and improve search performance.
Reference:
A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. The statement that accurately describes base searches used for KPIs in a service is:
A) Base searches can be used for multiple services. This means that you can create a base search for a service and use it for other services that have similar data sources and KPIs. For example, if you have multiple services that monitor web server performance, you can create a base search that queries the web server logs and use it for all the services that need to calculate KPIs based on those logs.


NEW QUESTION # 43
Which index is used to store KPI values?

  • A. itsi_service_health
  • B. itsi_summary_metrics
  • C. itsi_metrics
  • D. itsi_summary

Answer: B

Explanation:
The IT Service Intelligence (ITSI) metrics summary index, itsi_summary_metrics, is a metrics-based summary index that stores KPI data.
Reference:
A is the correct answer because the itsi_summary_metrics index is used to store KPI values in ITSI. This index improves the performance of the searches dispatched by ITSI, particularly for very large environments. Every KPI is summarized in both the itsi_summary events index and the itsi_summary_metrics metrics index. Reference: Overview of ITSI indexes


NEW QUESTION # 44
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