Splunk IT Service Intelligence Certified Admin SPLK-3002 Exam Questions

Answer : D

By default, impacting service health scores have an importance value of 11.

A service template is a predefined set of KPIs and entity rules that you can apply to a service or a group of services. A service template helps you standardize the configuration and monitoring of similar services across your IT environment. A service template can also include dependent services, which are services that are required for another service to function properly. For example, a web server service might depend on a database service and a network service. The default importance value for dependent services' health scores is:

D . 10. This is true because the importance value indicates how much a dependent service contributes to the health score of the parent service. The default value is 10, which means that the dependent service has the highest impact on the parent service's health score. You can change the importance value of a dependent service in the service template settings.

The other options are not correct because:

A . 11. This is not true because 11 is an invalid value for importance. The valid range is from 1 (lowest) to 10 (highest).

B . 1. This is not true because 1 is the lowest value for importance, not the default value. A value of 1 means that the dependent service has the lowest impact on the parent service's health score.

C . Unassigned. This is not true because every dependent service has an assigned importance value, which defaults to 10.

Answer : A

A is the correct answer because anomaly detection can be enabled on a KPI level in ITSI. Anomaly detection allows you to identify trends and outliers in KPI search results that might indicate an issue with your system. You can enable anomaly detection for a KPI by selecting one of the two anomaly detection algorithms in the KPI configuration panel. Reference:Apply anomaly detection to a KPI in ITSI

Answer : A

KPIbase searcheslet you share a search definition across multiple KPIs in IT Service Intelligence (ITSI). Create base searches to consolidate multiple similar KPIs, reduce search load, and improve search performance.

A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. The statement that accurately describes base searches used for KPIs in a service is:

A . Base searches can be used for multiple services. This means that you can create a base search for a service and use it for other services that have similar data sources and KPIs. For example, if you have multiple services that monitor web server performance, you can create a base search that queries the web server logs and use it for all the services that need to calculate KPIs based on those logs.

Answer : C

1. From the ITSI main menu, clickConfiguration>Notable Event Aggregation Policies.

2. Select a custom policy or the Default Policy.

3. Under Smart Mode grouping, enableSmart Mode.

4. ClickSelect fields. A dialog displays the fields found in your notable events from the last 24 hours.

C is the correct answer because smart mode is a feature of aggregation policies that allows ITSI to automatically group notable events based on the fields that have the most impact on the event occurrence. You can enable smart mode for an aggregation policy by editing the policy, selecting the smart mode option, and choosing the fields to analyze. You can also specify a minimum number of events to trigger smart mode and a maximum number of groups to create. Reference:Configure smart mode for aggregation policies in ITSI

Answer : B

A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference:Service Analyzer

Answer : B

In Splunk IT Service Intelligence (ITSI), the Service Analyzer visually represents service dependencies. A solid line between services indicates a normal one way dependency where one service's health contributes to another's service health score. However, a dotted line signifies a cyclic dependency, meaning that two services are defined as depending on each other in a loop. This typically happens when a service is configured to depend on another service that, directly or indirectly, also depends back on the first service. In Helga's scenario, because the web service is set to depend on the database using the Heartbeat KPI, and the configuration somehow established a reverse dependency (even inadvertently), the Service Analyzer shows the relationship as cyclic with a dotted line. To resolve this, Helga needs to check the service dependency configuration for the database service and ensure it does not mistakenly include the web service (or any chain of dependencies that leads back to it). Removing or correcting that erroneous dependency breaks the cycle, which will then change the representation to a solid line and properly reflect the dependency without circular references. It's not related to KPI importance values in this context --- importance affects health score calculation but does not cause a cyclic dependency indicator.

Answer : D

In a distributed Splunk Enterprise deployment running Splunk IT Service Intelligence (ITSI), the SA IndexCreation app 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 because indexers are the only Splunk instance type that can actually host and write indexed data. Therefore, SA IndexCreation is installed on all indexers in 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 on search heads since search heads orchestrate searches across the distributed environment and provide ITSI's interactive features. Universal forwarders and heavy forwarders are not appropriate 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 the indexers and search heads, enabling proper index definition and search functionality across the deployment.