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Splunk SPLK-3002 Certification Exam is ideal for IT professionals who are responsible for managing and administering ITSI solutions in their organization. This includes IT administrators, system administrators, and IT operations professionals. Splunk IT Service Intelligence Certified Admin certification is also useful for professionals who are looking to enhance their careers in the field of IT service management and monitoring.
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The Splunk SPLK-3002 exam covers a wide range of topics, including IT service intelligence concepts, data onboarding, service insights, and machine learning. It also covers various Splunk applications, such as ITSI modules, Glass Tables, and Service Analyzer. Furthermore, the exam evaluates the candidate’s ability to use Splunk to create efficient dashboards, alerts, and reports.
Achieving the SPLK-3002 Certification can lead to many career opportunities for IT professionals. Certified Splunk ITSI admins are in high demand in industries such as healthcare, finance, and government, where complex IT environments require advanced monitoring and analytics capabilities. Furthermore, the certification can help professionals stand out in a crowded job market and increase their earning potential.
Splunk IT Service Intelligence Certified Admin Sample Questions (Q34-Q39):
NEW QUESTION # 34
Which of the following is a characteristic of notable event groups?
- A. Notable event groups allow users to adjust threshold settings.
- B. Notable event groups are created in the itsi_tracked_alerts index.
- 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 # 35
Which of the following is a best practice when configuring maintenance windows?
- A. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
- B. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- C. Disable any glass tables that reference a KPI that is part of an open maintenance window.
- D. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
Answer: B
Explanation:
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.
NEW QUESTION # 36
Which of the following describes entities? (Choose all that apply.)
- A. An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service.
- B. Multiple entities can share the same alias value, but must have different role values.
- C. Entities must be IT devices, such as routers and switches, and must be identified by either IP value, host name, or mac address.
- D. To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service".
Answer: A,D
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/KPIfilter Entities are IT components that require management to deliver an IT service. Each entity has specific attributes and relationships to other IT processes that uniquely identify it. Entities contain alias fields and informational fields that ITSI associates with indexed events. Some statements that describe entities are:
B). An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service. An abstract entity is an entity that does not represent a physical host or device, but rather a logical grouping of data sources. For example, you can create an abstract entity for each business unit in your organization and use it to split by for a KPI that measures revenue or customer satisfaction. However, you cannot use entity rules or filtering to limit data to a specific service based on abstract entities, because they do not have alias fields that match indexed events.
D). To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service". This option allows you to filter the data sources for a KPI by the entities that are assigned to the service. For example, if you have a service for web servers and you want to monitor the CPU load percent for each web server entity, you can select this option to ensure that only the events from those entities are used for the KPI calculation.
References: Overview of entity integrations in ITSI, [Create KPI base searches in ITSI]
NEW QUESTION # 37
Which of the following is a best practice when configuring maintenance windows?
- A. Change the color of services and entities that are part of an open maintenance window in the service analyzer.
- B. Give the maintenance window a buffer, for example, 15 minutes before and after actual maintenance work.
- C. Disable any glass tables that reference a KPI that is part of an open maintenance window.
- D. Develop a strategy for configuring a service's notable event generation when the service's maintenance window is open.
Answer: B
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:
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
NEW QUESTION # 38
When deploying ITSI on a distributed Splunk installation, which component must be installed on the search head(s)?
- A. SA-ITSI-Licensechecker
- B. SA-ITOA
- C. ITSI app
- D. All ITSI components
Answer: A
Explanation:
Explanation
Install SA-ITSI-Licensechecker and SA-UserAccess on any license master in a distributed or search head cluster environment. If a search head in your environment is also a license master, the license master components are installed when you install ITSI on the search heads.
NEW QUESTION # 39
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