SPLK-3002 無料問題集「Splunk IT Service Intelligence Certified Admin」

（A）Technical Service.

（B）Security Service.

（C）Network Service.

（D）Business Service.

（A）60-80

（B）20-40

（C）80-100

（D）40-60

（A）Policy version

（B）Filtering criteria

（C）Module rules

（D）Review order

（A）One or more entity import saved searches.

（B）One or more services with KPIs and their associated base searches.

（C）One or more correlation searches and their associated entities.

（D）One or more datamodels.

（A）Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.

（B）It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.

（C）Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.

（D）If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.

（A）There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.

（B）A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.

（C）Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.

（D）Anomaly detection automatically generates notable events when KPI data diverges from the pattern.

（A）By editing the associated correlation search and specifying an alert action.

（B）By creating a notable event aggregation policy with a SNOW incident action.

（C）By linking Entities to Service-Now configuration items.

（D）By creating a custom etc/apps/SA-lTOA/workflow_rules. conf

（A）Infantile regression

（B）Linear regression

（C）Entity cohesion

（D）Standard deviation

（A）Automatically alerting when KPI value patterns change over time.

（B）Automatically adjusting to holiday schedules.

（C）Automatically predicting future degradation of KPI values over time.

（D）Automatically adjusting thresholds as normal KPI values change over time.