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Splunk IT Service Intelligence Certified Admin 認定 SPLK-3002 試験問題 (Q21-Q26):

質問 # 21
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?

A. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
B. Plan to build as many data models as possible for ITSI to leverage
C. Use | stats functions in custom fields to prepare the data for KPI calculations.
D. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.

正解：D

質問 # 22
Which of the following are characteristics of ITSI service dependencies? (select all that apply)

A. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
B. If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.
C. Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.
D. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.

正解：A、D

解説：
In the context of Splunk IT Service Intelligence (ITSI), service dependencies allow for the modeling of relationships between services, where the health of one service (dependent) can affect the health of another (primary).
B) It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service: Utilizing the 'ServiceHealthScore' KPI of a dependent service as part of the primary service's health calculation is a recommended practice. This approach ensures that changes in the health of the dependent service directly influence the primary service's overall health score, providing a more holistic view of service health within the IT environment.
C) Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score: When a dependent service's KPI is incorporated into a primary service, the importance level assigned to this KPI is factored into the primary service's overall health score calculation just like any other KPI. This means that the impact of the dependent service on the primary service can be weighted according to the business significance of the relationship between the services.
The other options are not accurate representations of ITSI service dependencies. Changes in KPI importance levels do not break dependencies, and there is no restriction on configuring impactful dependent services to only one primary service, as dependencies can be complex and multi-layered across various services.

質問 # 23
Which index is used to store KPI values?

A. itsi_summary
B. itsi_summary_metrics
C. itsi_metrics
D. itsi_service_health

正解：B

解説：
The IT Service Intelligence (ITSI) metrics summary index, itsi_summary_metrics, is a metrics-based summary index that stores KPI data.
Reference:
A is the correct answer because the itsi_summary_metrics index is used to store KPI values in ITSI. This index improves the performance of the searches dispatched by ITSI, particularly for very large environments. Every KPI is summarized in both the itsi_summary events index and the itsi_summary_metrics metrics index. Reference: Overview of ITSI indexes

質問 # 24
Which of the following is a characteristic of base searches?

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

正解：D

解説：
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/BaseSearch 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. References: Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]

質問 # 25
There are two Smart Mode configuration settings that control how fields affect grouping. Which of these is correct?

A. Text similarity and category deviation.
B. Text similarity and category similarity.
C. Text deviation and category deviation.
D. Text deviation and category similarity.

正解：B

解説：
In the context of Smart Mode configuration within Splunk IT Service Intelligence (ITSI), the two settings that control how fields affect grouping are "Text similarity" and "Category similarity." Smart Mode is a feature used in event grouping that leverages machine learning to automatically group related events. "Text similarity" refers to how closely the textual content of event fields must match for those events to be grouped together, taking into account commonalities in strings or narratives within the event data. "Category similarity," on the other hand, relates to the similarity in the categorical attributes of events, such as event types or source types, which helps in clustering events that are similar in nature or origin. Both of these settings are crucial in determining how events are grouped in ITSI, influencing the granularity and relevance of the event groupings based on textual and categorical similarities.

質問 # 26
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