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| Section | Weight | Objectives |
|---|---|---|
| Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Services and KPIs | 15% | - Configure KPI thresholds and alerts - Use entities in KPI searches - Define services and KPIs - Manage service dependencies |
| Introducing ITSI | 5% | - Examine the ITSI user interface - Describe reasons for using ITSI - Identify what ITSI does |
| Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
| Glass Tables | 5% | - Use glass tables - Configure glass tables - Design glass tables - Describe glass tables |
| Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| Event Analytics | 5% | - Describe Event Analytics features - Configure and use Event Analytics |
| ITSI Architecture and Deployment | 10% | - Describe ITSI architecture - Manage ITSI modules - Plan and design deployment |
| Troubleshooting ITSI | 10% | - Diagnose common issues - Monitor ITSI performance - Resolve configuration and operational problems |
| Managing Notable Events | 10% | - Describe notable events workflow - Work with notable events - Define key notable events terms and relationships - Describe multi-KPI alerts - Customize notable event views |
| Deep Dives | 10% | - Describe deep dive concepts - Create and customize deep dives - Use default deep dives |
| Correlation and Multi-KPI Searches | 5% | - Manage notable event storage - Create multi-KPI alerts - Define correlation searches |
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質問 # 66
Which of the following is a good use case regarding defining entities for a service?
正解：A
解説：
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.
質問 # 67
Which of the following is a characteristic of base searches?
正解：A
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 # 68
Which of the following is a good use case for creating a custom module?
正解：D
解説：
Creating a custom module in Splunk IT Service Intelligence (ITSI) is particularly beneficial for the purpose of migrating KPI base searches and related visualizations to other ITSI installations. Custom modules can encapsulate a set of configurations, searches, and visualizations that are tailored to specific monitoring needs or environments. By packaging these elements into a module, it becomes easier to transfer, deploy, and maintain consistency across different ITSI instances. This modularity supports the reuse of developed components, simplifying the process of scaling and replicating monitoring setups in diverse operational contexts. The ability to migrate these components seamlessly enhances operational efficiency and ensures that best practices and custom configurations can be shared across an organization's ITSI deployments.
質問 # 69
Where are KPI search results stored?
正解：A
解説：
Explanation
Search results are processed, created, and written to the itsi_summary index via an alert action.
質問 # 70
Where are KPI search results stored?
正解：A
解説：
Search results are processed, created, and written to the itsi_summary index via an alert action.
Reference:
D is the correct answer because KPI search results are stored in the itsi_summary index in ITSI. This index is an events index that stores the results of scheduled KPI searches. Summary indexing lets you run fast searches over large data sets by spreading out the cost of a computationally expensive report over time. Reference: Overview of ITSI indexes
質問 # 71
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