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Splunk SPLK-3002 Exam Syllabus Topics:

SectionObjectives
ITSI Maintenance and Troubleshooting- Performance tuning and health monitoring
- Common configuration issues
Glass Tables and Visualization- Visualization objects and drilldowns
- Dashboard design principles
Data Inputs and Content Management- Data onboarding into ITSI
- Episode Review and event grouping
Service and KPI Configuration- Service dependencies and hierarchy design
- KPI creation and thresholds
IT Service Intelligence (ITSI) Fundamentals- Services, KPIs, and glass tables
- ITSI architecture and components

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Splunk SPLK-3002 Lernressourcen - SPLK-3002 Zertifizierungsantworten

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Splunk IT Service Intelligence Certified Admin SPLK-3002 Prüfungsfragen mit Lösungen (Q37-Q42):

37. Frage
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?

Antwort: A

Begründung:
Reference: https://newoutlook.it/download/book/splunk/advanced-splunk.pdf When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:
B). Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.
The other options are not things you should consider because:
A). Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using
| stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs.
You should use | stats functions only in base searches or ad hoc searches, not in custom fields.
C). Make sure that all fields conform to CIM, then use the corresponding module to import related services.
This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.
D). Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.
References: Overview of modules in ITSI, [Install technical add-ons for ITSI modules]


38. Frage
Which of the following describes a way to delete multiple duplicate entities in ITSI?

Antwort: A

Begründung:
Explanation
Import entities from CSV files that contain one or more entity definitions. Importing entities from CSV files is an efficient way to define multiple entities.


39. Frage
Which of the following are characteristics of service templates? (select all that apply)

Antwort: A,C

Begründung:
Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:
B) Service templates contain KPIs and KPI thresholds: This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.
C) Service templates can contain specific or generic entity rules: These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.
While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.


40. Frage
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)

Antwort: A,B,C

Begründung:
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
Reference:
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events. Reference: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]


41. Frage
ITSI Saved Search Scheduling is configured to use realtime_schedule = 0. Which statement is accurate about this configuration?

Antwort: B

Begründung:
Explanation
If set to 0, the scheduler determines the next scheduled search run time based on the last run time for the search. This is called continuous scheduling.


42. Frage
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SPLK-3002 Lernressourcen: https://www.zertpruefung.de/SPLK-3002_exam.html

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