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[Hardware] Real SPLK-3002 Exam Answers - SPLK-3002 Real Dumps

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【Hardware】 Real SPLK-3002 Exam Answers - SPLK-3002 Real Dumps

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Splunk SPLK-3002 exam is designed to test the knowledge and skills of IT professionals who wish to become certified Splunk IT Service Intelligence (ITSI) Administrators. Splunk IT Service Intelligence Certified Admin certification exam is a comprehensive assessment of an individual's understanding of the Splunk platform, including ITSI, and their ability to use it to analyze and visualize data from various sources. SPLK-3002 exam measures the candidate's ability to design, configure, and administer ITSI components and integrate them with other Splunk components.
Splunk SPLK-3002, also known as the Splunk IT Service Intelligence Certified Admin exam, is a certification test designed for professionals who want to become proficient in using Splunk IT Service Intelligence (ITSI) to monitor, analyze, and troubleshoot IT environments. SPLK-3002 Exam is an advanced-level certification that covers the most important aspects of ITSI, including setting up and configuring ITSI, creating service models, and using advanced analytics to detect and resolve IT issues.
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Splunk SPLK-3002 (Splunk IT Service Intelligence Certified Admin) Certification Exam is designed for IT professionals who want to demonstrate their skills and knowledge in using Splunk IT Service Intelligence (ITSI) to monitor and analyze IT services. SPLK-3002 exam covers a range of topics, including configuring ITSI, creating service level agreements (SLAs), using KPIs (Key Performance Indicators) and service analytics, and troubleshooting ITSI issues. Passing SPLK-3002 Exam proves that you have the expertise to effectively use ITSI to improve IT services and ensure business continuity.
Splunk IT Service Intelligence Certified Admin Sample Questions (Q33-Q38):NEW QUESTION # 33
Which of the following describes enabling smart mode for an aggregation policy?
  • A. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
  • B. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
  • C. Edit the notable event view, enable smart mode, select "fields", and click "Save"
  • D. Configure -> Policies -> Smart Mode -> Enable, select "fields", click "Save"
Answer: D
Explanation:
Explanation
1. From the ITSI main menu, click Configuration > Notable Event Aggregation Policies.
2. Select a custom policy or the Default Policy.
3. Under Smart Mode grouping, enable Smart Mode.
4. Click Select fields. A dialog displays the fields found in your notable events from the last 24 hours.

NEW QUESTION # 34
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
  • A. Correlation search creation.
  • B. Service swapping configuration.
  • C. Adding KPI metric lanes to glass tables.
  • D. Creating glass tables.
Answer: B,C,D
Explanation:
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: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/GTOverview 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.
References: 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]

NEW QUESTION # 35
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
  • A. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
  • B. Use | stats functions in custom fields to prepare the data for KPI calculations.
  • C. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
  • D. Plan to build as many data models as possible for ITSI to leverage
Answer: A

NEW QUESTION # 36
What are valid considerations when designing an ITSI Service? (Choose all that apply.)
  • A. Entities, entity meta-data, and entity rules should be planned carefully to support the service design and configuration.
  • B. Service access control requirements for ITSI Team Access should be considered, and appropriate teams provisioned prior to creating the ITSI Service.
  • C. Backfill of a KPI should always be selected so historical data points can be used immediately and alerts based on that data can occur.
  • D. Services, entities, and saved searches are stored in the ITSI app, while events created by KPI execution are stored in the itsi_summary index.
Answer: B,D

NEW QUESTION # 37
To use Adaptive Threshholding, what is the minimum requirement for a set of KPI data?
  • A. 14 days old.
  • B. 10 days old.
  • C. 30 days old.
  • D. 7 days old.
Answer: D
Explanation:
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.

NEW QUESTION # 38
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