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| Section | Objectives |
|---|---|
| ITSI Maintenance and Troubleshooting | - Performance tuning and health monitoring - Common configuration issues |
| 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 |
| Glass Tables and Visualization | - Visualization objects and drilldowns - Dashboard design principles |
| IT Service Intelligence (ITSI) Fundamentals | - ITSI architecture and components - Services, KPIs, and glass tables |
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NEW QUESTION # 19
What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?
Answer: B
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 # 20
Which of the following is a problem requiring correction in ITSI?
Answer: B
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 # 21
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
Answer: B,C
Explanation:
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.
NEW QUESTION # 22
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
Answer: C
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 # 23
Anomaly detection can be enabled on which one of the following?
Answer: C
Explanation:
Explanation
Enable anomaly detection to identify trends and outliers in KPI search results that might indicate an issue with your system.
NEW QUESTION # 24
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