File Info
| Exam | Splunk IT Service Intelligence Certified Admin |
| Number | SPLK-3002 |
| File Name | Splunk.SPLK-3002.CertDumps.2024-08-04.40q.tqb |
| Size | 184 KB |
| Posted | Aug 04, 2024 |
| Download | Splunk.SPLK-3002.CertDumps.2024-08-04.40q.tqb |
How to open VCEX & EXAM Files?
Files with VCEX & EXAM extensions can be opened by ProfExam Simulator.
Coupon: MASTEREXAM
With discount: 20%
Demo Questions
Question 1
Which of the following is a characteristic of base searches?
- Search expression, entity splitting rules, and thresholds are configured at the base search level.
- It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
- The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.
- The base search will execute whether or not a KPI needs it.
Correct answer: B
Explanation:
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] 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]
Question 2
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)
- Creating glass tables.
- Correlation search creation.
- Service swapping configuration.
- Adding KPI metric lanes to glass tables.
Correct answer: ACD
Explanation:
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.The service swapping settings are saved and apply the next time you open the glass table.You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:Creating glass tables from scratch or from existing templates.Configuring service swapping on widgets to toggle displaying metrics from different services.Adding KPI metric lanes to glass tables to show historical trends of KPI values.The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events.Reference:Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI] Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events.
Reference:Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]
Question 3
Which of the following is an advantage of an adaptive time threshold?
- Automatically alerting when KPI value patterns change over time.
- Automatically adjusting thresholds as normal KPI values change over time.
- Automatically adjusting to holiday schedules.
- Automatically predicting future degradation of KPI values over time.
Correct answer: B
Explanation:
An adaptive time threshold in the context of Splunk IT Service Intelligence (ITSI) refers to the capability of dynamically adjusting threshold values for Key Performance Indicators (KPIs) based on historical data trends and patterns. This feature allows thresholds to evolve as the 'normal' behavior of KPIs changes over time, ensuring that alerts remain relevant and reduce the likelihood of false positives or negatives. The advantage of this approach is that it accommodates for natural fluctuations in KPI values that may occur due to changes in business operations, seasonality, or other factors, without requiring manual threshold adjustments. This makes the monitoring system more resilient and responsive to actual conditions, improving the overall effectiveness of IT operations management. An adaptive time threshold in the context of Splunk IT Service Intelligence (ITSI) refers to the capability of dynamically adjusting threshold values for Key Performance Indicators (KPIs) based on historical data trends and patterns. This feature allows thresholds to evolve as the 'normal' behavior of KPIs changes over time, ensuring that alerts remain relevant and reduce the likelihood of false positives or negatives. The advantage of this approach is that it accommodates for natural fluctuations in KPI values that may occur due to changes in business operations, seasonality, or other factors, without requiring manual threshold adjustments. This makes the monitoring system more resilient and responsive to actual conditions, improving the overall effectiveness of IT operations management.
