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Splunk SPLK-3002 exam is intended for professionals who have experience in deploying and managing IT infrastructure. Individuals who have worked with Splunk ITSI and have a thorough understanding of its capabilities will benefit from this certification. SPLK-3002 Exam Tests the individuals on their ability to configure and manage the Splunk ITSI environment, create and manage service models, and set up alerts and notifications.
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Splunk IT Service Intelligence Certified Admin Sample Questions (Q72-Q77):
NEW QUESTION # 72
Which of the following is a valid type of Multi-KPI Alert?
- A. Value over time.
- B. Rise over run.
- C. Score over composite.
- D. Status over time.
Answer: A
Explanation:
Reference:
B is the correct answer because value over time is a valid type of Multi-KPI Alert in ITSI. A Multi-KPI Alert is a type of alert that triggers when multiple KPIs from one or more services meet certain conditions within a specified time range. Value over time is a condition that compares the current value of a KPI to its previous values over a specified time range. For example, you can create a Multi-KPI Alert that triggers when the CPU usage and memory usage of a service are both higher than their average values in the last 24 hours. Reference: [Create Multi-KPI alerts in ITSI], [Multi-KPI alert conditions in ITSI]
NEW QUESTION # 73
What is the range for a normal Service Health score category?
- A. 40-60
- B. 80-100
- C. 20-40
- D. 60-80
Answer: B
Explanation:
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.
NEW QUESTION # 74
Which of the following is a best practice when configuring maintenance windows?
- A. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
- B. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
- C. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- D. Disable any glass tables that reference a KPI that is part of an open maintenance window.
Answer: C
Explanation:
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: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW 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. References: Overview of maintenance windows in ITSI
NEW QUESTION # 75
Which deep dive swim lane type does not require writing SPL?
- A. Event lane.
- B. Metric lane.
- C. KPI lane.
- D. Automatic lane.
Answer: C
Explanation:
A KPI lane is a type of deep dive swim lane that does not require writing SPL. You can simply select a service and a KPI from a drop-down list and ITSI will automatically populate the lane with the corresponding data. You can also adjust the threshold settings and time range for the KPI lane. Reference: [KPI Lanes]
NEW QUESTION # 76
Which of the following is a characteristic of notable event groups?
- A. Notable event groups are created in the itsi_tracked_alerts index.
- B. Notable event groups allow users to adjust threshold settings.
- C. All of the above.
- D. Notable event groups combine independent notable events.
Answer: D
Explanation:
In Splunk IT Service Intelligence (ITSI), notable event groups are used to logically group related notable events, which enhances the manageability and analysis of events:
A).Notable event groups combine independent notable events:This characteristic allows for the aggregation of related events into a single group, making it easier for users to manage and investigate related issues. By grouping events, users can focus on the broader context of an issue rather than getting lost in the details of individual events.
While notable event groups play a critical role in organizing and managing events in ITSI, they do not inherently allow users to adjust threshold settings, which is typically handled at the KPI or service level.
Additionally, while notable event groups are utilized within the ITSI framework, the statement that they are created in the 'itsi_tracked_alerts' index might not fully capture the complexity of how event groups are managed and stored within the ITSI architecture.
NEW QUESTION # 77
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