Which of the following is a recommended best practice for service and glass table design?
Correct Answer:
A
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/GTOverview
A is the correct answer because it is recommended to plan and implement services first, then build detailed glass tables that reflect the service hierarchy and dependencies. This way, you can ensure that your glass tables provide accurate and meaningful service-level insights. Building glass tables first might lead to unnecessary or irrelevant KPIs that do not align with your service goals. References: Splunk IT Service Intelligence Service Design Best Practices
What is an episode?
Correct Answer:
C
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.
References: [Overview of Episode Review in ITSI], [Overview of aggregation policies in ITSI]
Which step is required to install ITSI on a single Search Head?
Correct Answer:
C
To install Splunk IT Service Intelligence (ITSI) on a single Search Head, one of the straightforward methods is to use the Splunk Web interface, specifically the "Manage Apps" dashboard, to download and install ITSI. This method is user-friendly and does not require manual file handling or command-line operations. By navigating to "Manage Apps" in the Splunk Web interface, users can find ITSI in the app repository or upload the ITSI installation package if it has been downloaded previously. From there, the installation process is initiated through the Splunk Web interface, simplifying the setup process. This approach ensures that the installation follows Splunk's standard app installation procedures, helping to avoid common installation errors and ensuring that ITSI is correctly integrated into the Splunk environment.
To use Adaptive Threshholding, what is the minimum requirement for a set of KPI data?
Correct Answer:
B
To utilize Adaptive Thresholding in Splunk IT Service Intelligence (ITSI), the minimum requirement for a set of Key Performance Indicator (KPI) data is that it must be at least 7 days old. Adaptive Thresholding uses historical data to dynamically adjust thresholds based on observed patterns and trends. Having a minimum of 7 days worth of data allows the system to analyze a sufficient amount of information to identify normal ranges and variances in KPI behavior, thereby setting more accurate and contextually relevant thresholds. This requirementensures that the adaptive thresholds are based on a meaningful data set that reflects the typical operational conditions of the monitored services.
When a KPI's aggregate value is calculated, which function is called?
Correct Answer:
B
In Splunk IT Service Intelligence (ITSI), when a Key Performance Indicator (KPI) aggregate value is calculated, thetstatsfunction is often called. Thetstatsfunction in Splunk is used for rapid statistical queries over large volumes of data, which is particularly useful in ITSI for efficiently calculating aggregate values of KPIs across potentially vast datasets. This function allows for quick aggregation and summarization of indexed data, which is essential for monitoring andanalyzing the performance metrics that KPIs represent in ITSI. Unlike thestatscommand, which operates on already retrieved events,tstatsworks directly on indexed data, providing faster performance especially when dealing with high volumes of data typical in an IT environment. Thetstatscommand is therefore fundamental in the backend processing of ITSI for calculating aggregate values of KPIs, enabling real- time and historical analysis of service health and performance.