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| Section | Objectives |
|---|---|
| Topic 1: IT Service Intelligence (ITSI) Fundamentals | - Services, KPIs, and glass tables - ITSI architecture and components |
| Topic 2: Service and KPI Configuration | - KPI creation and thresholds - Service dependencies and hierarchy design |
| Topic 3: ITSI Maintenance and Troubleshooting | - Common configuration issues - Performance tuning and health monitoring |
| Topic 4: Glass Tables and Visualization | - Dashboard design principles - Visualization objects and drilldowns |
| Topic 5: Data Inputs and Content Management | - Episode Review and event grouping - Data onboarding into ITSI |
>> SPLK-3002 Latest Test Questions <<
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NEW QUESTION # 43
Which of the following are the default ports that must be configured on Splunk to use ITSI?
Answer: C
Explanation:
Reference:
C is the correct answer because ITSI uses the default ports of Splunk Enterprise for its communication and data collection. SplunkWeb uses port 8000, SplunkD uses port 8089, and HTTP Event Collector uses port 8088. These ports can be changed if needed, but they must match the configuration of Splunk Enterprise. Reference: Ports used by ITSI
NEW QUESTION # 44
Anomaly detection can be enabled on which one of the following?
Answer: B
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. Reference: Apply anomaly detection to a KPI in ITSI
NEW QUESTION # 45
What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?
Answer: A
Explanation:
For Entity Cohesion anomaly detection in Splunk IT Service Intelligence (ITSI), the minimum number of entities a KPI must be split by is 2. Entity Cohesion as a method of anomaly detection focuses on identifying anomalies based on the deviation of an entity's behavior in comparison to other entities within the same group or cohort. By requiring a minimum of only two entities, ITSI allows for the comparison of entities to detect significant deviations in one entity's performance or behavior, which could indicate potential issues. This method leverages the idea that entities performing similar functions or within the same service should exhibit similar patterns of behavior, and significant deviations could be indicative of anomalies. The low minimum requirement of two entities ensures that this powerful anomaly detection feature can be utilized even in smaller environments.
NEW QUESTION # 46
Which of the following is a valid type of Multi-KPI Alert?
Answer: C
NEW QUESTION # 47
Which of the following best describes a default deep dive?
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 # 48
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