Splunk SPLK-3002 Buch & SPLK-3002 Prüfungs-Guide

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Splunk SPLK-3002 Exam Syllabus Topics:

Section	Weight	Objectives
ITOA Administration	10%	- ITOA dashboard overview - Configuring ITOA
Service Discovery and Installation	8%	- Service Discovery overview - Creating adaptive threshold templates - Service Discovery installation
ITSI Analytics	12%	- Notable Events and aggregation policies - Glass Table thresholds - Configuring aggregation policies
Advanced Topics	16%	- ITSI content management - ITSI and Splunk Enterprise Security integration - Custom KPIs and calculations - Service-level availability reporting
ITSI Overview and Concepts	8%	- Entities and services - ITSI product overview - ITSI key concepts and terminology
Glass Tables	14%	- Configuring Glass Table elements - Entity Drilldown - Creating Glass Tables
ITSI Service Design	18%	- Service dependencies and dependencies view - Creating and configuring services - Entity templates and filters - Service Health Score calculation
ITSI Administration	14%	- KPI base searches and aggregation - Managing services using deep dives - Backup and restore ITSI configuration - ITSI searches and scheduled searches

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Splunk IT Service Intelligence Certified Admin SPLK-3002 Prüfungsfragen mit Lösungen (Q90-Q95):

90. Frage
How do you automatically restrict a KPI to only the entities in its service, and generate KPI values for each entity?

A. Select "Yes" for "Split by Entity" and "No" for "Filter to Entities in Service".
B. Select "Yes" for both "Split by Entity" and "Filter to Entities in Service".
C. Select "No" for "Split by Entity" and "Yes" for "Filter to Entities in Service".
D. Select "No" for both "Split by Entity" and "Filter to Entities in Service".

Antwort: B

91. Frage
Which scenario would benefit most by implementing ITSI?

A. Monitoring of system hardware.
B. Monitoring of business services functionality.
C. Monitoring of retail sales metrics.
D. Monitoring of system process statuses

Antwort: B

Begründung:
Reference:
Splunk IT Service Intelligence (ITSI) is a monitoring and analytics solution that uses artificial intelligence and machine learning to provide insights into the health and performance of IT services. ITSI lets you create services that represent the critical components of your IT infrastructure, such as applications, databases, servers, networks, and so on. You can then monitor the status and performance of these services using key performance indicators (KPIs), which are metrics that measure aspects of service health, such as availability, latency, error rate, and so on. ITSI also provides tools for visualizing, investigating, and alerting on service issues, such as service analyzers, glass tables, deep dives, episode review, and so on. The scenario that would benefit most by implementing ITSI is monitoring of business service functionality, because ITSI enables you to measure and improve the quality and reliability of your IT services and align them with your business objectives. Reference: What is Splunk IT Service Intelligence?

92. Frage
Which index contains ITSI Episodes?

A. itsi_notable_archive
B. itsi_grouped_alerts
C. itsi_summary
D. itsi_tracked_alerts

Antwort: A

93. Frage
Anomaly detection can be enabled on which one of the following?

A. Service
B. Multi-KPI alert
C. KPI
D. Entity

Antwort: C

Begründung:
A is the correct answer because anomaly detection can be enabled on a KPI level in ITSI. Anomaly detection allows you to identify trends and outliers in KPI search results that might indicate an issue with your system.
You can enable anomaly detection for a KPI by selecting one of the two anomaly detection algorithms in the KPI configuration panel. References: Apply anomaly detection to a KPI in ITSI

94. Frage
Fritz is looking at a Deep Dive with a lane showing the average percent of CPU usage across the four web servers in the web farm. Seeing a spike, he wants to add the graphs of each server on the swim lane, and selects the Lane Overlay Options to do so. No entity overlays are available for the KPI.
What is wrong with his KPI configuration?

A. He configured the KPI to split by pseudo#entity.
B. He did not split the KPI by entity.
C. He configured the service with only three entities.
D. He did not enable entity filtering.

Antwort: B

Begründung:
In Splunk ITSI, swim lane overlays depend on a KPI beingsplit by entityso that each entity's individual time series can be displayed separately in the Deep Dive view. When a KPI is aggregated without an entity split, it produces asingle time seriesvalue at each timestamp representing the entire group (in this case, the average CPU across all web servers). Because that KPI does not contain per#entity values, ITSI has nothing to overlay
- therefore no entity overlays appear in the Lane Overlay Options. This configuration mistake often happens when a KPI is defined to average values across sources without specifying an entity dimension on which to split results. Entity filtering is a separate feature that enables restricting which entities are considered in display or analytics and does not control availability of swim lane overlays; pseudo#entities are artificial names that do not reflect actual system identities and are not relevant to this error; and having only three entities versus four would not prevent overlays from appearing if the KPI were correctly split by entity. The correct fix is to edit the KPI definition and configure it tosplit the metric results by the server entity field, such that each server has its own time series. This then enables Fritz to overlay the individual server CPU graphs on the swim lane as intended.

95. Frage
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