Splunk SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam Practice Test

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Total 90 questions
Question 1

When troubleshooting KPI search performance, which search names in job activity identify base searches?



Answer : B

In the context of troubleshooting KPI search performance in Splunk IT Service Intelligence (ITSI), the search names in the job activity that identify base searches typically follow the pattern 'Indicator - Shared - xxxx - ITSI Search.' These base searches are fundamental components of the KPI calculation process, aggregating and preparing data for further analysis by KPIs. Identifying these base searches in the job activity is crucial for diagnosing performance issues, as these searches can be resource-intensive and impact overall system performance. Understanding the naming convention helps administrators and analysts quickly pinpoint the base searches related to specific KPIs, facilitating more effective troubleshooting and optimization of search performance within the ITSI environment.


Question 2

To use Adaptive Threshholding, what is the minimum requirement for a set of KPI data?



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 requirement ensures that the adaptive thresholds are based on a meaningful data set that reflects the typical operational conditions of the monitored services.


Question 3

Which of the following can generate notable events?



Answer : C

Notable events in Splunk IT Service Intelligence (ITSI) are primarily generated through scheduled correlation searches. These searches are designed to monitor data for specific conditions or patterns defined by the ITSI administrator, and when these conditions are met, a notable event is created. These correlation searches are often linked to specific services or groups of services, allowing for targeted monitoring and alerting based on the operational needs of those services. This mechanism enables ITSI to provide timely and relevant alerts that can be further investigated and managed through the Episode Review dashboard, facilitating efficient incident response and management within the IT environment.


Question 4

What is the range for a normal Service Health score category?



Answer : D

In Splunk IT Service Intelligence (ITSI), the Service Health Score is a metric that provides a quantifiable measure of the overall health and performance of a service. The score ranges from 0 to 100, with higher scores indicating better health. The range for a normal Service Health score category is typically from 80 to 100. Scores within this range suggest that the service is performing well, with no significant issues affecting its health. This categorization helps IT and business stakeholders quickly assess the operational status of their services, enabling them to focus on services that may require attention or intervention due to lower health scores.


Question 5

Which step is required to install ITSI on a single Search Head?



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.


Question 6

Which of the following actions can be performed with a deep dive?



Answer : A

Deep dives in Splunk IT Service Intelligence (ITSI) allow for an in-depth analysis of services and their KPIs over time, providing a detailed view of the operational health and performance trends. One of the powerful actions that can be performed with a deep dive is the creation of a Multi-KPI alert from the deep dive's current state. This functionality enables users to define alerts based on the complex conditions observed during the deep dive analysis, allowing for the early detection of similar situations in the future. By configuring a Multi-KPI alert directly from a deep dive, ITSI users can leverage their insights and observations to proactively monitor for patterns or conditions that may indicate potential service degradation or failure, enhancing the overall responsiveness and effectiveness of the IT monitoring strategy.


Question 7

Which of the following is a good use case for a Multi-KPI alert?



Answer : D

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.


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Total 90 questions