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| Section | Objectives |
|---|---|
| Data Inputs and Content Management | - Episode Review and event grouping - Data onboarding into ITSI |
| Service and KPI Configuration | - Service dependencies and hierarchy design - KPI creation and thresholds |
| ITSI Maintenance and Troubleshooting | - Performance tuning and health monitoring - Common configuration issues |
| IT Service Intelligence (ITSI) Fundamentals | - ITSI architecture and components - Services, KPIs, and glass tables |
| Glass Tables and Visualization | - Dashboard design principles - Visualization objects and drilldowns |
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NEW QUESTION # 33
What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?
Answer: D
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 # 34
In Episode Review, what is the result of clicking an episode's Acknowledge button?
Answer: C
Explanation:
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/EpisodeOverview An episode represents a disruption of service operation causing impact to business operations. It is a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation. In Episode Review, you can manage the episodes and their statuses using various actions. One of the actions is Acknowledge, which changes the status of an episode from New to Acknowledged and assigns the current user as the owner. This action indicates that someone is working on resolving the episode and prevents duplicate efforts from other users. References: Overview of Episode Review in ITSI, [Episode actions in Episode Review]
NEW QUESTION # 35
In maintenance mode, which features of KPIs still function?
Answer: D
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.
Reference:
A is the correct answer because KPI searches still run during maintenance mode, but the results are buffered until the maintenance window is over. This means that no alerts are triggered during maintenance mode, but once it ends, the buffered results are processed and alerts are generated if necessary. You cannot create new KPIs or modify existing KPIs during maintenance mode. Reference: [Overview of maintenance windows in ITSI]
NEW QUESTION # 36
Which of the following are the default ports that must be configured on Splunk to use ITSI?
Answer: A
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 # 37
Which of the following is a characteristic of notable event groups?
Answer: D
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 # 38
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