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To prepare for the SPLK-3002 Exam, candidates can take the Splunk IT Service Intelligence Fundamentals course or the Splunk IT Service Intelligence Admin course. SPLK-3002 courses provide comprehensive training in using ITSI to manage IT services, and they cover all the topics tested in the exam. Additionally, candidates can take practice exams and review the Splunk documentation to reinforce their knowledge.
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The SPLK-3002 exam covers a range of topics related to Splunk ITSI, including configuring and deploying ITSI components, creating and managing service models, configuring and using dynamic thresholds, creating and managing glass tables, and configuring data inputs and integrations. SPLK-3002 Exam also covers advanced topics such as using machine learning to detect anomalies and predicting service health using predictive analytics.
NEW QUESTION # 70
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
Answer: A
Explanation:
B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. Reference: Configure adaptive thresholding for a KPI in ITSI
NEW QUESTION # 71
Which of the following is part of setting up a new aggregation policy?
Answer: D
Explanation:
When setting up a new aggregation policy in Splunk IT Service Intelligence (ITSI), one of the crucial components is defining the filtering criteria. This aspect of the aggregation policy determines which events should be included in the aggregation based on specific conditions or attributes. The filtering criteria can be based on various event fields such as severity, source, event type, and other custom fields relevant to the organization's monitoring strategy. By specifying the filtering criteria, ITSI administrators can ensure that the aggregation policy is applied only to the pertinent events, thus facilitating more targeted and effective event management and reducing noise in the operational environment. This helps in organizing and prioritizing events more efficiently, enhancing the overall incident management process within ITSI.
NEW QUESTION # 72
Which of the following are the default ports that must be configured on Splunk to use ITSI?
Answer: B
Explanation:
Reference: https://splunk.github.io/docker-splunk/ARCHITECTURE.html
C is the correct answer because ITSI uses the default ports of Splunk Enterprise for its communication and data collection. SplunkWeb uses port 8000, SplunkD uses port 8089, and HTTP Event Collector uses port
8088. These ports can be changed if needed, but they must match the configuration of Splunk Enterprise.
References: Ports used by ITSI
NEW QUESTION # 73
Which of the following describes a realistic troubleshooting workflow in ITSI?
Answer: C
Explanation:
A realistic troubleshooting workflow in ITSI is:
B) Service Analyzer -> Notable Event Review -> Deep Dive
This workflow involves using the Service Analyzer dashboard to monitor the health and performance of your services and KPIs, using the Notable Event Review dashboard to investigate and manage the notable events generated by ITSI, and using the Deep Dive dashboard to analyze the historical trends and anomalies of your KPIs and metrics.
The other workflows are not realistic because they involve components that are not part of the troubleshooting process, such as correlation search, aggregation policy, and KPI. These components are used to create and configure the alerts and episodes that ITSI generates, not to investigate and resolve them. Reference: [Service Analyzer dashboard in ITSI], Overview of Episode Review in ITSI, [Overview of deep dives in ITSI]
NEW QUESTION # 74
Which index is used to store KPI values?
Answer: A
Explanation:
Explanation
The IT Service Intelligence (ITSI) metrics summary index, itsi_summary_metrics, is a metrics-based summary index that stores KPI data.
NEW QUESTION # 75
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