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Splunk IT Service Intelligence Certified Admin certification exam covers different topics related to ITSI, including data input and management, data analysis, service modeling, and service management. SPLK-3002 Exam also tests the candidate's ability to use ITSI to monitor and troubleshoot IT services and applications, as well as their knowledge of best practices for configuring and deploying ITSI in different environments. Splunk IT Service Intelligence Certified Admin Sample Questions (Q12-Q17):NEW QUESTION # 12
Which index contains ITSI Episodes?
A. itsi_summary
B. itsi_notable_archive
C. itsi_tracked_alerts
D. itsi_grouped_alerts
Answer: D
Explanation:
Reference: https://docs.splunk.com/Document ... igure/IndexOverview B is the correct answer because ITSI episodes are stored in the itsi_grouped_alerts index. This index contains notable events that have been grouped together based on predefined aggregation policies. Episodes help you reduce alert noise and focus on resolving incidents faster. References: [Overview of episodes in ITSI]
NEW QUESTION # 13
What is an episode?
A. A notable event.
B. A deep dive.
C. A workflow task.
D. A notable event group.
Answer: A
Explanation:
Explanation
It's a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation.
NEW QUESTION # 14
Which of the following statements is accurate when using multiple policies?
A. An event can be processed by only a single policy.
B. New policies are applied after the default policy.
C. Policy processing is applied in a defined order.
D. New policies are applied before the default policy.
Answer: C
Explanation:
In Splunk IT Service Intelligence (ITSI), when using multiple event management policies, it is important to understand that policy processing is applied in a defined order. This order is crucial because it determines how events are processed and aggregated, and which rules are applied to events first. The order of policies can be customized, allowing administrators to prioritize certain policies over others based on the specific needs and operational logic of their IT environment. This feature provides flexibility in event management, enabling more precise control over event processing and ensuring that the most critical events are handled according to the desired precedence. This structured approach to policy processing helps in maintaining the efficiency and effectiveness of event management within ITSI.
NEW QUESTION # 15
Which of the following statements describe default glass tables in ITSI?
A. There is one service template default glass table.
B. There are no default glass tables.
C. The Service Health Score default glass table.
D. There is one default glass table per service.
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), glass tables are fully customizable dashboards that provide a visual representation of an organization's IT environment, along with the health and status of services and KPIs.
Unlike some pre-configured views or dashboards that might come with default setups in various platforms, ITSI does not provide default glass tables out of the box. Instead, users are encouraged to create their own glass tables tailored to their specific monitoring needs and operational views. This approach ensures that each organization can design glass tables that best represent their unique infrastructure, applications, and service landscapes, providing a more personalized and relevant operational overview.
NEW QUESTION # 16
Which of the following is an advantage of an adaptive time threshold?
A. Automatically predicting future degradation of KPI values over time.
B. Automatically adjusting thresholds as normal KPI values change over time.
C. Automatically adjusting to holiday schedules.
D. Automatically alerting when KPI value patterns change over time.
Answer: B
Explanation:
An adaptive time threshold in the context of Splunk IT Service Intelligence (ITSI) refers to the capability of dynamically adjusting threshold values for Key Performance Indicators (KPIs) based on historical data trends and patterns. This feature allows thresholds to evolve as the 'normal' behavior of KPIs changes over time, ensuring that alerts remain relevant and reduce the likelihood of false positives or negatives. The advantage of this approach is that it accommodates for natural fluctuations in KPI values that may occur due to changes in business operations, seasonality, or other factors, without requiring manual threshold adjustments. This makes the monitoring system more resilient and responsive to actual conditions, improving the overall effectiveness of IT operations management.