FREE PDF QUIZ 2025 SPLUNK SPLK-3002: HIGH PASS-RATE RELIABLE SPLUNK IT SERVICE INTELLIGENCE CERTIFIED ADMIN DUMPS PPT

Free PDF Quiz 2025 Splunk SPLK-3002: High Pass-Rate Reliable Splunk IT Service Intelligence Certified Admin Dumps Ppt

Free PDF Quiz 2025 Splunk SPLK-3002: High Pass-Rate Reliable Splunk IT Service Intelligence Certified Admin Dumps Ppt

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The SPLK-3002 exam consists of 60 multiple-choice questions that need to be answered within 90 minutes. The passing score for SPLK-3002 exam is 70%, and candidates must pay a fee to take the exam. Splunk recommends that candidates have at least six months of experience using Splunk ITSI before attempting the certification exam.

Splunk SPLK-3002 certification exam is designed to validate the skills of IT professionals in managing and administering Splunk IT Service Intelligence (ITSI) solutions. Splunk ITSI is a powerful tool that helps organizations to monitor, manage, and analyze their IT infrastructure, applications, and services in real-time. SPLK-3002 Exam is designed to test the knowledge and practical skills of IT professionals in deploying, configuring, and troubleshooting Splunk ITSI solutions.

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Splunk IT Service Intelligence Certified Admin Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)

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

Answer: A,B

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 # 11
Which of the following is a characteristic of base searches?

  • A. The base search will execute whether or not a KPI needs it.
  • B. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
  • C. Search expression, entity splitting rules, and thresholds are configured at the base search level.
  • D. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.

Answer: B

Explanation:
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. One of the characteristics of base searches is that it is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs. This means that you can use entity filtering rules to specify which entities are relevant for each KPI based on the base search results. Reference: Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]


NEW QUESTION # 12
For which ITSI function is it a best practice to use a 15-30 minute time buffer?

  • A. Correlation searches.
  • B. Maintenance windows
  • C. Adaptive thresholding.
  • D. Anomaly detection.

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. 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.


NEW QUESTION # 13
How can Service Now incidents be created automatically when a Multi-KPI alert triggers? (select all that apply)

  • A. By creating a notable event aggregation policy with a SNOW incident action.
  • B. By linking Entities to Service-Now configuration items.
  • C. By creating a custom etc/apps/SA-lTOA/workflow_rules. conf
  • D. By editing the associated correlation search and specifying an alert action.

Answer: A,D

Explanation:
To automatically create ServiceNow incidents when a Multi-KPI alert triggers in Splunk IT Service Intelligence (ITSI), the following approaches can be used:
C) By creating a notable event aggregation policy with a ServiceNow (SNOW) incident action: ITSI allows the creation of notable event aggregation policies that can specify actions to be taken when certain conditions are met. One of these actions can be the creation of an incident in ServiceNow, directly linking the alerting mechanism in ITSI with incident management in ServiceNow.
D) By editing the associated correlation search and specifying an alert action: Correlation searches in ITSI are used to identify patterns or conditions that signify notable events. These searches can be configured to include alert actions, such as creating a ServiceNow incident, whenever the search conditions are met. This direct integration ensures that incidents are automatically generated in ServiceNow, based on the specific criteria defined in the correlation search.
Options A and B are not standard practices for integrating ITSI with ServiceNow for automatic incident creation. The configuration typically involves setting up actionable alert mechanisms within ITSI that are specifically designed to integrate with external systems like ServiceNow.


NEW QUESTION # 14
For which ITSI function is it a best practice to use a 15-30 minute time buffer?

  • A. Correlation searches.
  • B. Adaptive thresholding.
  • C. Maintenance windows
  • D. Anomaly detection.

Answer: B

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 # 15
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