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| Section | Objectives |
|---|---|
| Topic 1: IT Service Intelligence (ITSI) Fundamentals | - Services, KPIs, and glass tables - ITSI architecture and components |
| Topic 2: Glass Tables and Visualization | - Visualization objects and drilldowns - Dashboard design principles |
| Topic 3: ITSI Maintenance and Troubleshooting | - Performance tuning and health monitoring - Common configuration issues |
| Topic 4: Service and KPI Configuration | - KPI creation and thresholds - Service dependencies and hierarchy design |
| Topic 5: Data Inputs and Content Management | - Data onboarding into ITSI - Episode Review and event grouping |
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NEW QUESTION # 90
In maintenance mode, which features of KPIs still function?
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. 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.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/AboutMW A is the correct answer because KPI searches still run during maintenance mode, but the results are buffered until the maintenance window is over. This means that no alerts are triggered during maintenance mode, but once it ends, the buffered results are processed and alerts are generated if necessary. You cannot create new KPIs or modify existing KPIs during maintenance mode. References: [Overview of maintenance windows in ITSI]
NEW QUESTION # 91
Which index will contain useful error messages when troubleshooting ITSI issues?
Answer: D
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/TroubleshootRE The index that will contain useful error messages when troubleshooting ITSI issues is:
B). _internal. This is true because the _internal index contains logs and metrics generated by Splunk processes, such as splunkd and metrics.log. These logs can help you diagnose problems with your Splunk environment, including ITSI components and features.
The other indexes will not contain useful error messages because:
A). _introspection. This is not true because the _introspection index contains data about Splunk resource usage, such as CPU, memory, disk space, and so on. These data can help you monitor the performance and health of your Splunk environment, but not the error messages.
C). itsi_summary. This is not true because the itsi_summary index contains summarized data for your KPIs and services, such as health scores, severity levels, threshold values, and so on. These data can help you analyze the trends and anomalies of your IT services, but not the error messages.
D). itsi_notable_audit. This is not true because the itsi_notable_audit index contains audit data for your notable events and episodes, such as creation time, owner
NEW QUESTION # 92
Which ITSI components are required before a module can be created?
Answer: A
Explanation:
Before a module can be created in Splunk IT Service Intelligence (ITSI), it is essential to have one or more datamodels established. Datamodels in Splunk provide a structured format for organizing and interpreting data, which is crucial for modules within ITSI. Modules often rely on datamodels to extract, transform, and present data in a meaningful way, especially when dealing with complex datasets across various sources.
Datamodels serve as the foundation for the module's ability to categorize and analyze data efficiently, enabling the creation of KPIs, services, and visualizations that are aligned with the specific needs of the module. Having these datamodels in place ensures that the module can function correctly and provide valuable insights into the monitored IT environments.
NEW QUESTION # 93
What happens when an anomaly is detected?
Answer: B
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 # 94
When working with a notable event group in the Notable Events Review dashboard, which of the following can be set at the individual or group level?
Answer: A
Explanation:
In the Notable Events Review dashboard within Splunk IT Service Intelligence (ITSI), when working with a notable event group, users can set or adjust certain attributes at the individual event level or at the group level. These attributes include:
Severity: The importance or impact level of the notable event or group, which can be adjusted to reflect the current assessment of the situation.
Status: The current state of the notable event or group, such as "New," "In Progress," or "Resolved," indicating the progress in addressing the event or group.
Owner: The user or team responsible for managing and resolving the notable event or group.
These settings allow for effective management and tracking of notable events, ensuring that they are appropriately prioritized, acted upon, and resolved by the responsible parties.
NEW QUESTION # 95
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