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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
| Managing Notable Events | 10% | - Define key notable events terms and relationships - Work with notable events - Describe multi-KPI alerts - Customize notable event views - Describe notable events workflow |
| Correlation and Multi-KPI Searches | 5% | - Create multi-KPI alerts - Define correlation searches - Manage notable event storage |
| Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| Glass Tables | 5% | - Use glass tables - Describe glass tables - Design glass tables - Configure glass tables |
| ITSI Architecture and Deployment | 10% | - Plan and design deployment - Describe ITSI architecture - Manage ITSI modules |
| Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Deep Dives | 10% | - Use default deep dives - Create and customize deep dives - Describe deep dive concepts |
| Services and KPIs | 15% | - Manage service dependencies - Use entities in KPI searches - Configure KPI thresholds and alerts - Define services and KPIs |
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問題 #31
Which of the following is an advantage of an adaptive time threshold?
答案：B
解題說明：
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.
問題 #32
Which index will contain useful error messages when troubleshooting ITSI issues?
答案：C
解題說明：
Reference:
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
問題 #33
When installing ITSI to support a Distributed Search Architecture, which of the following items apply?
(Choose all that apply.)
答案：D
解題說明：
Explanation
Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.
問題 #34
Which of the following is the best use case for configuring a Multi-KPI Alert?
答案：C
解題說明：
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/MKA
A multi-KPI alert is a type of correlation search that is based on defined trigger conditions for two or more KPIs. When trigger conditions occur simultaneously for each KPI, the search generates a notable event. For example, you might create a multi-KPI alert based on two common KPIs: CPU load percent and web requests.
A sudden simultaneous spike in both CPU load percent and web request KPIs might indicate a DDOS (Distributed Denial of Service) attack. Multi-KPI alerts can bring such trending behaviors to your attention early, so that you can take action to minimize any impact on performance. Multi-KPI alerts are useful for correlating the status of multiple KPIs across multiple services. They help you identify causal relationships, investigate root cause, and provide insights into behaviors across your infrastructure. The best use case for configuring a multi-KPI alert is to raise an alert when one or more KPIs indicate an outage is occurring, such as when the service health score drops below a certain threshold or when multiple KPIs have critical severity levels. References: Create multi-KPI alerts in ITSI
問題 #35
Which ITSI functions generate notable events? (Choose all that apply.)
答案：B,C,D
解題說明：
Explanation
After you configure KPI thresholds, you can set up alerts to notify you when aggregate KPI severities change.
ITSI generates notable events in Episode Review based on the alerting rules you configure.
Anomaly detection generates notable events when a KPI IT Service Intelligence (ITSI) deviates from an expected pattern.
Notable events are typically generated by a correlation search.
問題 #36
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