SPLK-3002 Exam Dumps - Splunk IT Service Intelligence Certified Admin Exam

ITSI Saved Search Scheduling is a feature that allows you to schedule searches that run periodically to populate the data for your KPIs. You can configure various settings for your scheduled searches, such as the search frequency, the time range, the cron expression, and so on. One of the settings is realtime_schedule, which controls the way the scheduler computes the next execution time of a scheduled search. The statement that is accurate about this configuration is:

B. If this value is set to 0, the scheduler bases its determination of the next scheduled search on the last search execution time. This is called continuous scheduling. If set to 0, the scheduler never skips scheduled execution periods. However, the execution of the saved search might fall behind depending on the scheduler’s load. Use continuous scheduling whenever you enable the summary index option.

The other statements are not accurate because:

A. If this value is set to 0, the scheduler bases its determination of the next scheduled search execution time on the current time. This is not true because this is what happens when the value is set to 1, not 0.

C. If this value is set to 0, the scheduler may skip scheduled execution periods. This is not true because this is what happens when the value is set to 1, not 0.

D. If this value is set to 0, the scheduler might skip some execution periods to make sure that the scheduler is executing the searches running over the most recent time range. This is not true because this is what happens when the value is set to 1, not 0.

When planning and designing a service tree in Splunk ITSI, the focus is onunderstanding how services, components, and dependencies relate to each otherso that ITSI can model service health, impact, and business relevance accurately. A technical diagram of the application and its interconnections provides direct insight into thecomponents and dependency relationshipsthat must be included in the service tree. A report of historical incidents and associated root causes offers valuable context for definingwhich components are critical, where failures have occurred, and how issues propagate, making it highly relevant to service modeling. A service topology from an IT Service Management (ITSM) tool also directly informs the modeling process by showingconfigured relationships between infrastructure and services, which can be imported or referenced to build accurate service trees. In contrast, anorganizational chart of the companyshows the reporting relationships and team structure within the organization — useful for human resource planning or escalation paths, but not directly useful for service tree design in ITSI. Organizational charts do not provide information about application components, their runtime connections, or how failures affect service delivery, making them theleast usefulmaterial when designing a service tree for technical and service health purposes. Therefore, company org charts are generally not relevant to ITSI service modeling.

B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. References: Configure adaptive thresholding for a KPI in ITSI

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.

In a distributed Splunk Enterprise deployment running Splunk IT Service Intelligence (ITSI), theSA‑IndexCreationapp is responsible for creating the necessary custom indexes (such as itsi_summary, itsi_notable, etc.) that ITSI uses to store metrics and notable events. These indexes must exist on the indexer layer becauseindexers are the only Splunk instance type that can actually host and write indexed data. Therefore, SA‑IndexCreation is installed onall indexersin the deployment to ensure that the index definitions are present wherever indexed data is stored. Meanwhile, the main ITSI app (which contains the UI, KPI scheduling, service modeling, analytics, and anomaly detection) is installed onsearch headssince search heads orchestrate searches across the distributed environment and provide ITSI’s interactive features. Universal forwarders and heavy forwarders arenotappropriate targets for SA‑IndexCreation because forwarders do not host writable index locations for ITSI summary and notable event indexes. Thus, the correct installation pattern for SA‑IndexCreation in a distributed environment is on both theindexers and search heads, enabling proper index definition and search functionality across the deployment.