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Master the SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam - Propel Your Career Today

Elevate your career with the SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam. Gain expertise in Splunk's IT Service Intelligence platform. Prepare effectively with our comprehensive study materials, practice tests, and expert guidance. Become a certified Splunk ITSI Admin and stand out in the competitive IT industry. Unlock new opportunities and advance your professional journey today. Don't miss out on the chance to prove your skills and excel in managing IT services with Splunk. Enroll now and take your career to the next level!<br>https://www.certsgrade.com/pdf/splk-3002/

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Master the SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam - Propel Your Career Today

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  1. Splunk SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam Questions And Answers PDF Format: For More Information – Visit link below: https://www.certsgrade.com/ Version = Version = Product Visit us athttps://www.certsgrade.com/pdf/splk-3002/

  2. Latest Version: 8.0 Question: 1 After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default? A. 6 months. B. 9 months. C. 1 year. D. 3 months. Answer: A Explanation: By default, notable event metadata is archived after six months to keep the KV store from growing too large. Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/TrimNECollections Question: 2 Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment? A. Only include KPIs if they will be used in multiple services. B. Analyze the business to determine the most critical services. C. Focus on low-level services. D. Define a large number of key services early. Answer: B Explanation: Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/MKA A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference: Service Analyzer Question: 3 When creating a custom deep dive, what color are services/KPIs in maintenance mode within the Visit us athttps://www.certsgrade.com/pdf/splk-3002/

  3. topology view? A. Gray B. Purple C. Gear Icon D. Blue Answer: A Explanation: When creating a custom deep dive, services or KPIs that are in maintenance mode are shown in gray color in the topology view. This indicates that they are not actively monitored and do not generate alerts or notable events. Reference: Deep Dives Question: 4 Which deep dive swim lane type does not require writing SPL? A. Event lane. B. Automatic lane. C. Metric lane. D. KPI lane. Answer: D 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] Question: 5 Which of the following items apply to anomaly detection? (Choose all that apply.) A. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it’s magic. B. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis. C. Anomaly detection automatically generates notable events when KPI data diverges from the pattern. D. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive. Visit us athttps://www.certsgrade.com/pdf/splk-3002/

  4. Answer: B, C Explanation: Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AD Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection: B. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare different entities within a service. C. Anomaly detection automatically generates notable events when KPI data diverges from the pattern. You can configure the sensitivity and severity of the anomaly detection alerts and assign them to episodes or teams. Reference: [Anomaly Detection] Visit us athttps://www.certsgrade.com/pdf/splk-3002/

  5. For More Information – Visit link below: https://www.certsgrade.com/ PRODUCT FEATURES 100% Money Back Guarantee 90 Days Free updates Special Discounts on Bulk Orders Guaranteed Success 50,000 Satisfied Customers 100% Secure Shopping Privacy Policy Refund Policy 16 USD Discount Coupon Code: NB4XKTMZ Visit us athttps://www.certsgrade.com/pdf/splk-3002/ Powered by TCPDF (www.tcpdf.org)

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