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  1. Home
  2. Splunk Certification
  3. SPLK-3002 Exam
  4. Splunk.SPLK-3002.v2024-06-23.q50 Dumps
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Question 21

Which of the following is a best practice when configuring maintenance windows?

Correct Answer: C
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.
Reference:
A maintenance window is a period of time when a service or entity is undergoing maintenance operations or does not require active monitoring. It is 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. For example, if a server will be shut down for maintenance at 1:00PM and restarted at 5:00PM, the ideal maintenance window is 12:30PM to 5:30PM. The 15- to 30-minute time buffer is a rough estimate based on 15 minutes being the time period over which most KPIs are configured to search data and identify alert triggers. Reference: Overview of maintenance windows in ITSI
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Question 22

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

Correct 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.
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Question 23

Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)

Correct Answer: B,C,D
Reference:
A deep dive is a dashboard that allows you to analyze the historical trends and anomalies of your KPIs and metrics in ITSI. A deep dive displays a timeline of events and swim lanes of data that you can customize and filter to investigate issues and perform root cause analysis. Some of the capabilities of deep dives are:
B) Visualizing one or more service KPIs values by time. This is true because you can add KPI swim lanes to a deep dive to show the values and severity levels of one or more KPIs over time. You can also compare KPIs from different services or entities using service swapping or entity splitting.
C) Examining and comparing alert levels for KPIs in a service over time. This is true because you can add alert swim lanes to a deep dive to show the alert levels and counts for one or more KPIs over time. You can also drill down into the alert details and view the notable events associated with each alert.
D) Comparing swim lane values for a slice of time. This is true because you can use the time range selector to zoom in or out of a specific time range in a deep dive. You can also use the time brush to select a slice of time and compare the swim lane values for that time period.
The other option is not a capability of deep dives because:
A) Comparing a service's notable events over a time period. This is not true because deep dives do not display notable events, which are alerts generated by ITSI based on certain conditions or correlations. Notable events are displayed in other dashboards, such as episode review or glass tables.
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Question 24

How do you automatically restrict a KPI to only the entities in its service, and generate KPI values for each entity?

Correct Answer: A
Reference:
A is the correct answer because selecting "Yes" for both "Split by Entity" and "Filter to Entities in Service" allows you to automatically restrict a KPI to only the entities in its service and generate KPI values for each entity. Split by Entity splits the KPI search results by entity alias fields and calculates a separate KPI value for each entity. Filter to Entities in Service filters out any entities that are not part of the service from the KPI search results. This way, you can ensure that your KPI reflects only the relevant entities for your service and provides granular information for each entity. Reference: [Configure KPI settings in ITSI]
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Question 25

Which of the following best describes a default deep dive?

Correct Answer: B
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