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| Section | Weight | Objectives |
|---|---|---|
| Advanced Topics | 16% | - Service-level availability reporting - ITSI content management - Custom KPIs and calculations - ITSI and Splunk Enterprise Security integration |
| ITSI Administration | 14% | - Backup and restore ITSI configuration - ITSI searches and scheduled searches - KPI base searches and aggregation - Managing services using deep dives |
| ITSI Analytics | 12% | - Notable Events and aggregation policies - Glass Table thresholds - Configuring aggregation policies |
| Service Discovery and Installation | 8% | - Creating adaptive threshold templates - Service Discovery overview - Service Discovery installation |
| ITOA Administration | 10% | - Configuring ITOA - ITOA dashboard overview |
| ITSI Service Design | 18% | - Service dependencies and dependencies view - Creating and configuring services - Service Health Score calculation - Entity templates and filters |
| 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 |
>> SPLK-3002 Prüfungsmaterialien <<
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77. Frage
Which of the following is the best use case for configuring a Multi-KPI Alert?
Antwort: B
Begründung:
Reference:
A multi-KPI alert is a type of correlation search that is based on defined trigger conditions for two or more KPIs. When trigger conditions occur simultaneously for each KPI, the search generates a notable event. For example, you might create a multi-KPI alert based on two common KPIs: CPU load percent and web requests. A sudden simultaneous spike in both CPU load percent and web request KPIs might indicate a DDOS (Distributed Denial of Service) attack. Multi-KPI alerts can bring such trending behaviors to your attention early, so that you can take action to minimize any impact on performance. Multi-KPI alerts are useful for correlating the status of multiple KPIs across multiple services. They help you identify causal relationships, investigate root cause, and provide insights into behaviors across your infrastructure. The best use case for configuring a multi-KPI alert is to raise an alert when one or more KPIs indicate an outage is occurring, such as when the service health score drops below a certain threshold or when multiple KPIs have critical severity levels. Reference: Create multi-KPI alerts in ITSI
78. Frage
Which glass table feature can be used to toggle displaying KPI values from more than one service on a single widget?
Antwort: A
Begründung:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/Visualizations#collapseDesktop8 A glass table is a visualization tool that allows you to monitor the interrelationships and dependencies across your IT and business services. You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. One of the features of glass tables is service swapping, which enables you to toggle displaying KPI values from more than one service on a single widget.
You can use service swapping to compare metrics across different services without creating multiple glass tables or widgets. References: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables]
79. 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?
Antwort: D
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.
80. Frage
What is the range for a normal Service Health score category?
Antwort: A
Begründung:
In Splunk IT Service Intelligence (ITSI), the Service Health Score is a metric that provides a quantifiable measure of the overall health and performance of a service. The score ranges from 0 to 100, with higher scores indicating better health. The range for a normal Service Health score category is typically from 80 to
100. Scores within this range suggest that the service is performing well, with no significant issues affecting its health. This categorization helps IT and business stakeholders quickly assess the operational status of their services, enabling them to focus on services that may require attention or intervention due to lower health scores.
81. Frage
Anomaly detection can be enabled on which one of the following?
Antwort: B
Begründung:
Explanation
Enable anomaly detection to identify trends and outliers in KPI search results that might indicate an issue with your system.
82. Frage
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