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[Hardware] Dumps SPLK-3002 Discount & Latest SPLK-3002 Exam Tips

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【Hardware】 Dumps SPLK-3002 Discount & Latest SPLK-3002 Exam Tips

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Splunk SPLK-3002 certification exam is designed to test the knowledge and skills of individuals who work with Splunk IT Service Intelligence (ITSI). Splunk ITSI is a powerful monitoring and analytics platform that helps organizations gain insights into their IT operations and improve service delivery. By earning the SPLK-3002 Certification, IT professionals can demonstrate their expertise in using Splunk ITSI to solve complex IT problems and optimize service performance.
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Splunk IT Service Intelligence Certified Admin Sample Questions (Q11-Q16):NEW QUESTION # 11
When installing ITSI to support a Distributed Search Architecture, which of the following items apply?
(Choose all that apply.)
  • A. Copy SA-IndexCreation to all indexers.
  • B. Copy SA-IndexCreation to the etc/apps directory on the index cluster master node.
  • C. Extract ITSI app package into etc/apps directory of search head.
  • D. Extract installer package into etc/apps directory of the cluster deployer node.
Answer: A
Explanation:
Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.
Reference: https://docs.splunk.com/Document ... /Install/InstallSHC A is the correct answer because when installing ITSI to support a distributed search architecture, you need to copy SA-IndexCreation to all indexers. SA-IndexCreation is an app that contains the definitions of the ITSI indexes, such as itsi_summary, itsi_tracked_alerts, itsi_grouped_alerts, etc. You need to copy this app to all indexers to ensure that they can store and search the ITSI data. B is not a correct answer because you do not need to copy SA-IndexCreation to the etc/apps directory on the index cluster master node. The index cluster master node does not store or search data, it only manages the replication and availability of data across the index cluster peers. C is not a correct answer because you do not need to extract the installer package into etc
/apps directory of the cluster deployer node. The cluster deployer node is used to distribute apps and configuration updates to the search head cluster members. You need to extract the installer package into etc
/shcluster/apps directory of the cluster deployer node instead. D is not a correct answer because you do not need to extract the ITSI app package into etc/apps directory of search head. You need to extract the ITSI app package into etc/shcluster/apps directory of the cluster deployer node and use the deployer to push the app to all search head cluster members. References: [Install Splunk IT Service Intelligence on a search head cluster],
[Install Splunk IT Service Intelligence on an indexer cluster]

NEW QUESTION # 12
What effects does the KPI importance weight of 11 have on the overall health score of a service?
  • A. It is a minimum health indicator KPI.
  • B. The service will go critical.
  • C. At least 10% of the KPIs will go critical.
  • D. Importance weight is unused for health scoring.
Answer: A

NEW QUESTION # 13
Which of the following is an advantage of using adaptive time thresholds?
  • A. Automatically update thresholds daily to manage dynamic changes to KPI values.
  • B. Automatically adjust aggregation policy grouping to manage escalating severity.
  • C. Automatically adjust correlation search thresholds to adjust sensitivity over time.
  • D. Automatically adjust KPI calculation to manage dynamic event data.
Answer: A
Explanation:
Reference:
Adaptive thresholds are thresholds calculated by machine learning algorithms that dynamically adapt and change based on the KPI's observed behavior. Adaptive thresholds are useful for monitoring KPIs that have unpredictable or seasonal patterns that are difficult to capture with static thresholds. For example, you might use adaptive thresholds for a KPI that measures web traffic volume, which can vary depending on factors such as holidays, promotions, events, and so on. The advantage of using adaptive thresholds is:
A) Automatically update thresholds daily to manage dynamic changes to KPI values. This is true because adaptive thresholds use historical data from a training window to generate threshold values for each time block in a threshold template. Each night at midnight, ITSI recalculates adaptive threshold values for a KPI by organizing the data from the training window into distinct buckets and then analyzing each bucket separately. This way, the thresholds reflect the most recent changes in the KPI data and account for any anomalies or trends.
The other options are not advantages of using adaptive thresholds because:
B) Automatically adjust KPI calculation to manage dynamic event data. This is not true because adaptive thresholds do not affect the KPI calculation, which is based on the base search and the aggregation method. Adaptive thresholds only affect the threshold values that are used to determine the KPI severity level.
C) Automatically adjust aggregation policy grouping to manage escalating severity. This is not true because adaptive thresholds do not affect the aggregation policy, which is a set of rules that determines how to group notable events into episodes. Adaptive thresholds only affect the threshold values that are used to generate notable events based on KPI severity level.
D) Automatically adjust correlation search thresholds to adjust sensitivity over time. This is not true because adaptive thresholds do not affect the correlation search, which is a search that looks for relationships between data points and generates notable events. Adaptive thresholds only affect the threshold values that are used by KPIs, which can be used as inputs for correlation searches.

NEW QUESTION # 14
Which of the following applies when configuring time policies for KPI thresholds?
  • A. It is possible for multiple time policies to overlap.
  • B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00
  • C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it.
  • D. A person can only configure 24 policies, one for each hour of the day.
Answer: B
Explanation:
Time policies are user-defined threshold values to be used at different times of the day or week to account for changing KPI workloads. Time policies accommodate normal variations in usage across your services and improve the accuracy of KPI and service health scores. For example, if your organization's peak activity is during the standard work week, you might create a KPI threshold time policy that accounts for higher levels of usage during work hours, and lower levels of usage during off-hours and weekends. The statement that applies when configuring time policies for KPI thresholds is:
B) They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00. This is true because time policies allow you to define different threshold values for different time blocks, such as AM/PM, work hours/off hours, weekdays/weekends, and so on. This way, you can account for the expected variations in your KPI data based on the time of day or week.
The other statements do not apply because:
A) A person can only configure 24 policies, one for each hour of the day. This is not true because you can configure more than 24 policies using different time block combinations, such as 3 hour block, 2 hour block, 1 hour block, and so on.
C) If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it. This is not true because time policies are designed to handle KPIs that change significantly through a cycle on a daily basis, such as web traffic volume or CPU load percent.
D) It is possible for multiple time policies to overlap. This is not true because you can only have one active time policy at any given time. When you create a new time policy, the previous time policy is overwritten and cannot be recovered.

NEW QUESTION # 15
Which of the following is a characteristic of base searches?
  • A. Search expression, entity splitting rules, and thresholds are configured at the base search level.
  • B. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.
  • C. The base search will execute whether or not a KPI needs it.
  • D. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
Answer: D
Explanation:
Reference:
A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. One of the characteristics of base searches is that it is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs. This means that you can use entity filtering rules to specify which entities are relevant for each KPI based on the base search results. Reference: Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]

NEW QUESTION # 16
......
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