It's a deduplicated group of notable events occurring as part of a larger sequence, or an incident or

period considered in isolation.

Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/EpisodeOverview

An episode is a deduplicated group of notable events occurring as part of a larger sequence, or an

incident or period considered in isolation. An episode helps you reduce alert noise and focus on the

most important issues affecting your IT services. An episode is created by an aggregation policy,

which is a set of rules that determines how to group notable events based on certain criteria, such as

severity, source, title, and so on. You can use episode review to view, manage, and resolve episodes

in ITSI. The statement that defines an episode is:

C) A notable event group. This is true because an episode is composed of one or more notable events

that are related by some common factor.

The other options are not definitions of an episode because:

A) A workflow task. This is not true because a workflow task is an action that you can perform on an

episode, such as assigning an owner, changing the status, adding comments, and so on.

B) A deep dive. This is not true because a deep dive is a dashboard that allows you to analyze the

historical trends and anomalies of your KPIs and metrics in ITSI.

D) A notable event. This is not true because a notable event is an alert generated by ITSI based on

certain conditions or correlations, not a group of alerts.

Reference: [Overview of Episode Review in ITSI], [Overview of aggregation policies in ITSI]

In Splunk IT Service Intelligence (ITSI), creating teams for each department and assigning services to

those teams is an effective way to segregate data and ensure that information remains private

between different groups within an organization. Teams in ITSI provide a mechanism for role-based

access control, allowing administrators to define which users or groups have access to specific

services, KPIs, and dashboards. By setting up teams corresponding to each department and then

assigning services to these teams, ITSI can accommodate multi-departmental use within the same

instance while maintaining strict access controls. This ensures that each department can only view

and interact with the data and services relevant to their operations, preserving confidentiality and

data integrity across the organization.

Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.

Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Install/InstallSHC

A is the correct answer because when installing ITSI to support a distributed search architecture, you

need to copy SA-IndexCreation to all indexers. SA-IndexCreation is an app that contains the

definitions of the ITSI indexes, such as itsi_summary, itsi_tracked_alerts, itsi_grouped_alerts, etc. You

need to copy this app to all indexers to ensure that they can store and search the ITSI data. B is not a

correct answer because you do not need to copy SA-IndexCreation to the etc/apps directory on the

index cluster master node. The index cluster master node does not store or search data, it only

manages the replication and availability of data across the index cluster peers. C is not a correct

answer because you do not need to extract the installer package into etc/apps directory of the cluster

deployer node. The cluster deployer node is used to distribute apps and configuration updates to the

search head cluster members. You need to extract the installer package into etc/shcluster/apps

directory of the cluster deployer node instead. D is not a correct answer because you do not need to

extract the ITSI app package into etc/apps directory of search head. You need to extract the ITSI app

package into etc/shcluster/apps directory of the cluster deployer node and use the deployer to push

the app to all search head cluster members. Reference: [Install Splunk IT Service Intelligence on a

search head cluster], [Install Splunk IT Service Intelligence on an indexer cluster]

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.

It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and

after you start and stop your maintenance work. This gives the system an opportunity to catch up

with the maintenance state and reduces the chances of ITSI generating false positives during

maintenance operations.

Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW

A is the correct answer because KPI searches still run during maintenance mode, but the results are

buffered until the maintenance window is over. This means that no alerts are triggered during

maintenance mode, but once it ends, the buffered results are processed and alerts are generated if

necessary. You cannot create new KPIs or modify existing KPIs during maintenance mode. Reference:

[Overview of maintenance windows in ITSI]