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| Section | Weight | Objectives |
|---|---|---|
| Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
| Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Diagnose common issues - Monitor ITSI performance |
| Deep Dives | 10% | - Create and customize deep dives - Use default deep dives - Describe deep dive concepts |
| ITSI Architecture and Deployment | 10% | - Describe ITSI architecture - Manage ITSI modules - Plan and design deployment |
| Managing Notable Events | 10% | - Describe notable events workflow - Customize notable event views - Describe multi-KPI alerts - Work with notable events - Define key notable events terms and relationships |
| Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Correlation and Multi-KPI Searches | 5% | - Create multi-KPI alerts - Manage notable event storage - Define correlation searches |
| Services and KPIs | 15% | - Manage service dependencies - Define services and KPIs - Configure KPI thresholds and alerts - Use entities in KPI searches |
| Event Analytics | 5% | - Configure and use Event Analytics - Describe Event Analytics features |
| Introducing ITSI | 5% | - Identify what ITSI does - Examine the ITSI user interface - Describe reasons for using ITSI |
| Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| Glass Tables | 5% | - Design glass tables - Configure glass tables - Describe glass tables - Use glass tables |
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NEW QUESTION # 42
Which of the following are characteristics of service templates? (select all that apply)
Answer: B,C
Explanation:
Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:
B) Service templates contain KPIs and KPI thresholds: This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.
C) Service templates can contain specific or generic entity rules: These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.
While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.
NEW QUESTION # 43
What happens when an anomaly is detected?
Answer: D
Explanation:
When an anomaly is detected in Splunk IT Service Intelligence (ITSI), it typically generates a notable event that can be reviewed and managed in the Episode Review dashboard. The Episode Review is part of ITSI's Event Analytics framework and serves as a centralized location for reviewing, annotating, and managing notable events, including those generated by anomaly detection. This process enables IT operators and analysts to efficiently identify, prioritize, and respond to potential issues highlighted by the anomaly alerts.
The integration of anomaly alerts into the Episode Review dashboard streamlines the workflow for managing and investigating these alerts within the broader context of IT service management and operational intelligence.
NEW QUESTION # 44
Which of the following is a characteristic of base searches?
Answer: A
Explanation:
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]
NEW QUESTION # 45
In Episode Review, what is the result of clicking an episode's Acknowledge button?
Answer: B
Explanation:
When an episode warrants investigation, the analyst acknowledges the episode, which moves the status from New to In Progress.
Reference:
An episode represents a disruption of service operation causing impact to business operations. It is a deduplicated group of notable events occurring as part of a larger sequence, or an incident or period considered in isolation. In Episode Review, you can manage the episodes and their statuses using various actions. One of the actions is Acknowledge, which changes the status of an episode from New to Acknowledged and assigns the current user as the owner. This action indicates that someone is working on resolving the episode and prevents duplicate efforts from other users. Reference: Overview of Episode Review in ITSI, [Episode actions in Episode Review]
NEW QUESTION # 46
Which of the following is a best practice when configuring maintenance windows?
Answer: B
Explanation:
It's a best practice to schedule maintenance windows with a 15- to 30-minute time buffer before and after you start and stop your maintenance work.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW A maintenance window is a period of time when a service or entity is undergoing maintenance operations or does not require active monitoring. It is a best practice to schedule maintenance windows with a 15- to 30- minute time buffer before and after you start and stop your maintenance work. This gives the system an opportunity to catch up with the maintenance state and reduces the chances of ITSI generating false positives during maintenance operations. For example, if a server will be shut down for maintenance at 1:00PM and restarted at 5:00PM, the ideal maintenance window is 12:30PM to 5:30PM. The 15- to 30-minute time buffer is a rough estimate based on 15 minutes being the time period over which most KPIs are configured to search data and identify alert triggers. References: Overview of maintenance windows in ITSI
NEW QUESTION # 47
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