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Splunk SPLK-3002 Exam Syllabus Topics:

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

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Hohe Qualität von SPLK-3002 Prüfung und Antworten

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Splunk IT Service Intelligence Certified Admin SPLK-3002 Prüfungsfragen mit Lösungen (Q78-Q83):

78. Frage
Which deep dive swim lane type does not require writing SPL?

A. Metric lane.
B. KPI lane.
C. Event lane.
D. Automatic lane.

Antwort: B

Begründung:
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. References: [KPI Lanes]

79. Frage
Which of the following is a good use case regarding defining entities for a service?

A. KPI total values are aggregated from multiple different category values in the source events.
B. Being able to split a CPU usage KPI by host name.
C. All of the entities have the same identifying field name.
D. Automatically associate entities to services using multiple entity aliases.

Antwort: D

Begründung:
Explanation
Define entities before creating services. When you configure a service, you can specify entity matching rules based on entity aliases that automatically add the entities to your service.

80. Frage
After a notable event has been closed, how long will the meta data for that event remain in the KV Store by default?

A. 9 months.
B. 3 months.
C. 6 months.
D. 1 year.

Antwort: C

Begründung:
By default, notable event metadata is archived after six months to keep the KV store from growing too large.

81. Frage
Which of the following is a characteristic of base searches?

A. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
B. Search expression, entity splitting rules, and thresholds are configured at the base search level.
C. The base search will execute whether or not a KPI needs it.
D. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.

Antwort: A

Begründung:
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]

82. Frage
What effects does the KPI importance weight of 11 have on the overall health score of a service?

A. At least 10% of the KPIs will go critical.
B. The service will go critical.
C. It is a minimum health indicator KPI.
D. Importance weight is unused for health scoring.

Antwort: D

Begründung:
Reference:
The KPI importance weight is a value that indicates how much a KPI contributes to the overall health score of a service. The importance weight can range from 1 (lowest) to 10 (highest). The statement that applies when configuring a KPI importance weight of 11 is:
B) Importance weight is unused for health scoring. This is true because an importance weight of 11 is invalid and cannot be used for health scoring. The maximum value for importance weight is 10.
The other statements do not apply because:
A) At least 10% of the KPIs will go critical. This is not true because an importance weight of 11 does not affect the severity level of any KPIs.
C) The service will go critical. This is not true because an importance weight of 11 does not affect the health score or status of any service.
D) It is a minimum health indicator KPI. This is not true because an importance weight of 11 does not indicate anything about the minimum health level of a KPI.

83. Frage
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