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SPLK-3002揃跡琌釱 & SPLK-3002戊件禾奈生件玄
Posted at 2/8/2026 09:43:04
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Splunk IT Service Intelligence Certified Admin 庲隅 SPLK-3002 歠觳 (Q88-Q93):斮 # 88
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
- B. Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
- C. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
- D. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
淏賤ㄩA﹜B
賤掊ㄩ
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AD
Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection:
B). A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare different entities within a service.
C). Anomaly detection automatically generates notable events when KPI data diverges from the pattern. You can configure the sensitivity and severity of the anomaly detection alerts and assign them to episodes or teams. References: [Anomaly Detection]
斮 # 89
Which index is used to store KPI values?
- A. itsi_service_health
- B. itsi_metrics
- C. itsi_summary
- D. itsi_summary_metrics
淏賤ㄩD
賤掊ㄩ
Explanation
The IT Service Intelligence (ITSI) metrics summary index, itsi_summary_metrics, is a metrics-based summary index that stores KPI data.
斮 # 90
Which of the following describes a realistic troubleshooting workflow in ITSI?
- A. Correlation Search -> Deep Dive -> Notable Event
- B. Service Analyzer -> Notable Event Review -> Deep Dive
- C. Service Analyzer -> Aggregation Policy -> Deep Dive
- D. Correlation search -> KPI -> Aggregation Policy
淏賤ㄩB
賤掊ㄩ
A realistic troubleshooting workflow in ITSI is:
B) Service Analyzer -> Notable Event Review -> Deep Dive
This workflow involves using the Service Analyzer dashboard to monitor the health and performance of your services and KPIs, using the Notable Event Review dashboard to investigate and manage the notable events generated by ITSI, and using the Deep Dive dashboard to analyze the historical trends and anomalies of your KPIs and metrics.
The other workflows are not realistic because they involve components that are not part of the troubleshooting process, such as correlation search, aggregation policy, and KPI. These components are used to create and configure the alerts and episodes that ITSI generates, not to investigate and resolve them. Reference: [Service Analyzer dashboard in ITSI], Overview of Episode Review in ITSI, [Overview of deep dives in ITSI]
斮 # 91
Fritz is looking at a Deep Dive with a lane showing the average percent of CPU usage across the four web servers in the web farm. Seeing a spike, he wants to add the graphs of each server on the swim lane, and selects the Lane Overlay Options to do so. No entity overlays are available for the KPI.
What is wrong with his KPI configuration?
- A. He configured the service with only three entities.
- B. He did not split the KPI by entity.
- C. He configured the KPI to split by pseudo#entity.
- D. He did not enable entity filtering.
淏賤ㄩB
賤掊ㄩ
In Splunk ITSI, swim lane overlays depend on a KPI beingsplit by entityso that each entity's individual time series can be displayed separately in the Deep Dive view. When a KPI is aggregated without an entity split, it produces asingle time seriesvalue at each timestamp representing the entire group (in this case, the average CPU across all web servers). Because that KPI does not contain per#entity values, ITSI has nothing to overlay
- therefore no entity overlays appear in the Lane Overlay Options. This configuration mistake often happens when a KPI is defined to average values across sources without specifying an entity dimension on which to split results. Entity filtering is a separate feature that enables restricting which entities are considered in display or analytics and does not control availability of swim lane overlays; pseudo#entities are artificial names that do not reflect actual system identities and are not relevant to this error; and having only three entities versus four would not prevent overlays from appearing if the KPI were correctly split by entity. The correct fix is to edit the KPI definition and configure it tosplit the metric results by the server entity field, such that each server has its own time series. This then enables Fritz to overlay the individual server CPU graphs on the swim lane as intended.
斮 # 92
Which of the following items describe ITSI teams? (select all that apply)
- A. Teams should have itoa admin roles added with read-only permissions for services and entities.
- B. A new team admin role should be created for each team. The new role should inherit the 'itoa_team_admin' role.
- C. Services should be assigned to the 'global' team if all users need access to it.
- D. By default, all services are owned by the built-in 'global' team and administered by the 'itoa_admin' role.
淏賤ㄩB﹜C﹜D
賤掊ㄩ
In Splunk IT Service Intelligence (ITSI), teams are used to organize services, KPIs, and other objects within ITSI to facilitate access control and management:
B) Services should be assigned to the 'global' team if all users need access to it: The 'global' team in ITSI is a built-in concept that denotes universal accessibility. Assigning services to the 'global' team makes them accessible to all ITSI users, irrespective of their specific team memberships. This is useful for services that are relevant across the entire organization.
C) By default, all services are owned by the built-in 'global' team and administered by the 'itoa_admin' role: This default setting ensures that upon creation, services are accessible to administrators and can be further re-assigned or refined for access by specific teams as needed.
D) A new team admin role should be created for each team. The new role should inherit the 'itoa_team_admin' role: This best practice allows for granular access control and management within teams. Each team can have its own administrators with the appropriate level of access and permissions tailored to the needs of that team, derived from the capabilities of the 'itoa_team_admin' role.
The concept of adding 'itoa admin roles' with read-only permissions contradicts the typical use case for administrative roles, which usually require more than read-only access to manage services and entities effectively.
斮 # 93
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