SPLK-3002合格率 & SPLK-3002試験解説

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Splunk SPLK-3002 Exam Syllabus Topics:

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

>> SPLK-3002合格率 <<

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Splunk IT Service Intelligence Certified Admin 認定 SPLK-3002 試験問題 (Q41-Q46):

質問 # 41
Which of the following is part of setting up a new aggregation policy?

A. Policy version
B. Module rules
C. Filtering criteria
D. Review order

正解：C

解説：
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.

質問 # 42
What happens when an anomaly is detected?

A. A separate correlation search needs to be created in order to see it.
B. An anomaly alert will appear as a notable event in Episode Review.
C. A SNMP trap will be sent.
D. An anomaly alert will appear in core splunk, in index=main.

正解：B

解説：
When an anomaly is detected in Splunk IT Service Intelligence (ITSI), it typically generates a notable event that can be reviewed and managed in the Episode Review dashboard. The Episode Review is part of ITSI's Event Analytics framework and serves as a centralized location for reviewing, annotating, and managing notable events, including those generated by anomaly detection. This process enables IT operators and analysts to efficiently identify, prioritize, and respond to potential issues highlighted by the anomaly alerts.
The integration of anomaly alerts into the Episode Review dashboard streamlines the workflow for managing and investigating these alerts within the broader context of IT service management and operational intelligence.

質問 # 43
Which of the following actions can be performed with a deep dive?

A. Create an anomaly detection alert to show when the same pattern begins in the future.
B. Create a predictive analysis model from the deep dive to warn of future service degradation.
C. Create a custom service analyzer from selected deep dive lanes.
D. Create a Multi-KPI alert from the deep dive's current state to warn of similar situations in the future.

正解：D

解説：
Deep dives in Splunk IT Service Intelligence (ITSI) allow for an in-depth analysis of services and their KPIs over time, providing a detailed view of the operational health and performance trends. One of the powerful actions that can be performed with a deep dive is the creation of a Multi-KPI alert from the deep dive's current state. This functionality enables users to define alerts based on the complex conditions observed during the deep dive analysis, allowing for the early detection of similar situations in the future. By configuring a Multi-KPI alert directly from a deep dive, ITSI users can leverage their insights and observations to proactively monitor for patterns or conditions that may indicate potential service degradation or failure, enhancing the overall responsiveness and effectiveness of the IT monitoring strategy.

質問 # 44
In maintenance mode, which features of KPIs still function?

A. KPI searches still run during maintenance mode, but results go to itsi_maintenance_summary index.
B. New KPIs can be created, but existing KPIs are locked.
C. KPI searches will execute but will be buffered until the maintenance window is over.
D. KPI calculations and threshold settings can be modified.

正解：C

解説：
Explanation
It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations.

質問 # 45
How should entities be handled during the data audit phase of requirements gathering?

A. Entities should be noted based upon Service KPI requirements such as 'by host' or 'by product line'.
B. Entities must be identified for every Service KPI defined and recorded in requirements.
C. Entities identified should be included in the entity filtering requirements, such as 'by processld' or 'by host'.
D. Entity meta-data for info and aliases should be identified and recorded as requirements.

正解：D

解説：
During the data audit phase of requirements gathering for Splunk IT Service Intelligence (ITSI), it's crucial to identify and record the meta-data for entities, focusing on information (info) and aliases. This step involves understanding and documenting the key attributes and identifiers that describe each entity, such as host names, IP addresses, device types, or other relevant characteristics. These attributes are used to categorize and uniquely identify entities within ITSI, enabling more effective mapping of data to services and KPIs. By meticulously recording this meta-data, organizations ensure that their ITSI implementation is aligned with their specific monitoring needs and infrastructure, facilitating accurate service modeling and event management. This practice is foundational for setting up ITSI to reflect the actual IT environment, enhancing the relevance and effectiveness of the monitoring and analysis capabilities.

質問 # 46
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