Splunk SPLK-3002 Exam Dumps

Splunk IT Service Intelligence (ITSI) is designed to align IT monitoring with the business outcomes that matter to stakeholders --- especially executives who are focused on service performance and its impact on revenue, customer experience, and operational goals. In ITSI, entities represent the individual components that make up services and contribute to Key Performance Indicators (KPIs). Selecting the right entities for service modeling is critical: technical entities (like hosts or network interfaces) are useful for IT operations troubleshooting, but they don't inherently represent business outcomes. Executive leadership cares about how incidents affect business capabilities and outcomes --- such as sales performance, customer transactions, and channel health. Therefore, entities that reflect business context (for example, store locations, product categories, or payment types) map IT issues directly to business performance indicators. When executives can see service health and incidents broken down by these business centric entities, they gain impactful visibility into how issues affect revenue, customer interactions, and overall business operations. In contrast, purely technical entities such as hosts or network interfaces do not provide that business impact perspective, and demographic slices like season or customer age --- while potentially valuable for marketing --- don't directly connect IT service health to business service performance in ITSI modeling.

When planning and designing a service tree in Splunk ITSI, the focus is on understanding how services, components, and dependencies relate to each other so that ITSI can model service health, impact, and business relevance accurately. A technical diagram of the application and its interconnections provides direct insight into the components and dependency relationships that must be included in the service tree. A report of historical incidents and associated root causes offers valuable context for defining which 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 showing configured relationships between infrastructure and services, which can be imported or referenced to build accurate service trees. In contrast, an organizational chart of the company shows 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 the least useful material when designing a service tree for technical and service health purposes. Therefore, company org charts are generally not relevant to ITSI service modeling.

Provide a value to filter the service to a specific set of entities. These entity rule values are meant to be custom for each service.

A is the correct answer because a service must define entity rules if the intention is for the KPIs in the service to filter to only entities assigned to the service. Entity rules are filters that match entities to services based on entity aliases or entity metadata. If you enable the Filter to Entities in Service option for a KPI, you need to define entity rules for the service to ensure that the KPI search results only include the relevant entities for the service. Otherwise, the KPI search results might include entities that are not part of the service or exclude entities that are part of the service. Reference: [Define entities for a service in ITSI], [Configure KPI settings in ITSI]

Entities are IT components that require management to deliver an IT service. Each entity has specific attributes and relationships to other IT processes that uniquely identify it. Entities contain alias fields and informational fields that ITSI associates with indexed events. Some statements that describe entities are:

B . An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service. An abstract entity is an entity that does not represent a physical host or device, but rather a logical grouping of data sources. For example, you can create an abstract entity for each business unit in your organization and use it to split by for a KPI that measures revenue or customer satisfaction. However, you cannot use entity rules or filtering to limit data to a specific service based on abstract entities, because they do not have alias fields that match indexed events.

D . To automatically restrict the KPI to only the entities in a particular service, select ''Filter to Entities in Service''. This option allows you to filter the data sources for a KPI by the entities that are assigned to the service. For example, if you have a service for web servers and you want to monitor the CPU load percent for each web server entity, you can select this option to ensure that only the events from those entities are used for the KPI calculation.

A glass table is a visualization tool that allows you to monitor the interrelationships and dependencies across your IT and business services. You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. One of the features of glass tables is service swapping, which enables you to toggle displaying KPI values from more than one service on a single widget. You can use service swapping to compare metrics across different services without creating multiple glass tables or widgets. Reference:Overview of the glass table editor in ITSI, [Configure service swapping on glass tables]