Question # 1
| Which of the following is part of setting up a new aggregation policy? | | A. Filtering criteria | | B. Policy version | | C. Review order | | D. Module rules |
A. Filtering criteria
Explanation:
When setting up a new aggregation policy in Splunk IT Service Intelligence (ITSI), one of the crucial components is defining the filtering criteria. This aspect of the aggregation policy determines which events should be included in the aggregation based on specific conditions or attributes. The filtering criteria can be based on various event fields such as severity, source, event type, and other custom fields relevant to the organization's monitoring strategy. By specifying the filtering criteria, ITSI administrators can ensure that the aggregation policy is applied only to the pertinent events, thus facilitating more targeted and effective event management and reducing noise in the operational environment. This helps in organizing and prioritizing events more efficiently, enhancing the overall incident management process within ITSI.
Question # 2
| Which of the following are characteristics of service templates? (select all that apply) | | A. Service templates can be modified after services are instantiated from it. | | B. Service templates contain KPIs and KPI thresholds. | | C. Service templates can contain specific or generic entity rules. | | D. Service templates contain domain specific dashboards and deep dives. |
B. Service templates contain KPIs and KPI thresholds.
C. Service templates can contain specific or generic entity rules.
Explanation:
Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:
B. Service templates contain KPIs and KPI thresholds:This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.
C. Service templates can contain specific or generic entity rules:These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.
While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.
Question # 3
Which capabilities are enabled through “teams”?
| A. Teams allow searches against the itsi_summary index.
| B. Teams restrict notable event alert actions.
| C. Teams restrict searches against the itsi_notable_audit index.
| D. Teams allow restrictions to service content in UI views.
|
D. Teams allow restrictions to service content in UI views.
Explanation:
D is the correct answer because teams allow you to restrict access to service content in UI views such as service analyzers, glass tables, deep dives, and episode review. Teams alsocontrol access to services and KPIs for editing and viewing purposes. Teams do not affect the ability to search against the itsi_summary index, restrict notable event alert actions, or restrict searches against the itsi_notable_audit index. References: Overview of teams in ITSI
Question # 4
| In which index are active notable events stored? | | A. itsi_notable_archive | | B. itsi_notable_audit | | C. itsi_tracked_alerts | | D. itsi_tracked_groups |
C. itsi_tracked_alerts
Explanation:
In Splunk IT Service Intelligence (ITSI), notable events are created and managed within the context of its Event Analytics framework. These notable events are stored in the itsi_tracked_alertsindex. This index is specifically designed to hold the active notable events that are generated by ITSI's correlation searches, which are based on the conditions defined for various services and their KPIs. Notable events are essentially alerts or issues that need to be investigated and resolved. The itsi_tracked_alertsindex enables efficient storage, querying, and management of these events, facilitating the ITSI's event management and review process. The other options, such as itsi_notable_archiveanditsi_notable_audit, serve different purposes, such as archiving resolved notable events and auditing changes to notable event configurations, respectively. Therefore, the correct answer for where active notable events are stored is the itsi_tracked_alertsindex.
Question # 5
| Which of the following is a good use case for a Multi-KPI alert? | | A. Alerting when the values of two or more KPIs go into maintenance mode. | | B. Alerting when the trend of two or more KPIs indicates service failure is imminent. | | C. Alerting when two or more KPIs are deviating from their typical pattern. | | D. Alerting when comparing the values of two or more KPIs indicates an unusual condition is occurring. |
D. Alerting when comparing the values of two or more KPIs indicates an unusual condition is occurring.
Explanation:
A Multi-KPI alert in Splunk IT Service Intelligence (ITSI) is designed to trigger based on the conditions of multiple Key Performance Indicators (KPIs). This type of alert is particularly useful when a single KPI's state is not sufficient to indicate an issue, but the correlation between multiple KPIs can provide a clearer picture of an emerging problem. The best use case for a Multi-KPI alert is therefore when comparing the values of two or more KPIs indicates an unusual condition is occurring. This allows for more nuanced and context-rich alerting mechanisms that can identify complex issues not detectable by monitoring individual KPIs. This approach is beneficial in complex environments where the interplay between different performance metrics needs to be considered to accurately detect and diagnose issues.
Question # 6
Which of the following are characteristics of ITSI service dependencies? (select all that apply)
| A. If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.
| B. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.
| C. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
| D. Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.
|
B. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.
C. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
Explanation:
In the context of Splunk IT Service Intelligence (ITSI), service dependencies allow for the modeling of relationships between services, where the health of one service (dependent) can affect the health of another (primary).
B.It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service:Utilizing the 'ServiceHealthScore' KPI of a dependent service as part of the primary service's health calculation is a recommended practice. This approach ensures that changes in the health of the dependent service directly influence the primary service's overall health score, providing a more holistic view of service health within the IT environment.
C.Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score:When a dependent service's KPI is incorporated into a primary service, the importance level assigned to this KPI is factored into the primary service's overall health score calculation just like any other KPI. This means that the impact of the dependent service on the primary service can be weighted according to the business significance of the relationship between the services.
The other options are not accurate representations of ITSI service dependencies. Changes in KPI importance levels do not break dependencies, and there is no restriction on configuring impactful dependent services to only one primary service, as dependencies can be complex and multi-layered across various services.
Question # 7
| ITSI Saved Search Scheduling is configured to use realtime_schedule = 0. Which statement is accurate about this configuration? | | A. If this value is set to 0, the scheduler bases its determination of the next scheduled search execution time on the current time. | | B. If this value is set to 0, the scheduler bases its determination of the next scheduled search on the last search execution time. | | C. If this value is set to 0, the scheduler may skip scheduled execution periods. | | 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. |
B. If this value is set to 0, the scheduler bases its determination of the next scheduled search on the last search execution time.
Explanation:
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.
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