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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introducing ITSI | 5% | - Identify what ITSI does - Examine the ITSI user interface - Describe reasons for using ITSI |
| Topic 2: Event Analytics | 5% | - Configure and use Event Analytics - Describe Event Analytics features |
| Topic 3: Managing Notable Events | 10% | - Work with notable events - Describe multi-KPI alerts - Define key notable events terms and relationships - Customize notable event views - Describe notable events workflow |
| Topic 4: Troubleshooting ITSI | 10% | - Resolve configuration and operational problems - Monitor ITSI performance - Diagnose common issues |
| Topic 5: Access Control and Security | 5% | - Configure user roles and permissions - Create service-level teams |
| Topic 6: Aggregation Policies | 5% | - Create aggregation policies - Use smart mode aggregation |
| Topic 7: ITSI Architecture and Deployment | 10% | - Manage ITSI modules - Describe ITSI architecture - Plan and design deployment |
| Topic 8: Anomaly Detection | 5% | - Work with anomaly events - Enable anomaly detection |
| Topic 9: Correlation and Multi-KPI Searches | 5% | - Create multi-KPI alerts - Manage notable event storage - Define correlation searches |
| Topic 10: Services and KPIs | 15% | - Configure KPI thresholds and alerts - Define services and KPIs - Use entities in KPI searches - Manage service dependencies |
| Topic 11: Glass Tables | 5% | - Use glass tables - Configure glass tables - Design glass tables - Describe glass tables |
| Topic 12: Deep Dives | 10% | - Create and customize deep dives - Use default deep dives - Describe deep dive concepts |
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NEW QUESTION # 16
Which of the following applies when configuring time policies for KPI thresholds?
Answer: B
Explanation:
Time policies are user-defined threshold values to be used at different times of the day or week to account for changing KPI workloads. Time policies accommodate normal variations in usage across your services and improve the accuracy of KPI and service health scores. For example, if your organization's peak activity is during the standard work week, you might create a KPI threshold time policy that accounts for higher levels of usage during work hours, and lower levels of usage during off-hours and weekends. The statement that applies when configuring time policies for KPI thresholds is:
* B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00.
This is true because time policies allow you to define different threshold values for different time blocks, such as AM/PM, work hours/off hours, weekdays/weekends, and so on. This way, you can account for the expected variations in your KPI data based on the time of day or week.
The other statements do not apply because:
* A. A person can only configure 24 policies, one for each hour of the day. This is not true because you can configure more than 24 policies using different time block combinations, such as 3 hour block, 2 hour block, 1 hour block, and so on.
* C. If a person expects a KPI to change significantly through a cycle on a daily basis, don't use it. This is not true because time policies are designed to handle KPIs that change significantly through a cycle on a daily basis, such as web traffic volume or CPU load percent.
* D. It is possible for multiple time policies to overlap. This is not true because you can only have one active time policy at any given time. When you create a new time policy, the previous time policy is overwritten and cannot be recovered.
References: Create time-based static KPI thresholds in ITSI
NEW QUESTION # 17
What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?
Answer: D
Explanation:
For Entity Cohesion anomaly detection in Splunk IT Service Intelligence (ITSI), the minimum number of entities a KPI must be split by is 2. Entity Cohesion as a method of anomaly detection focuses on identifying anomalies based on the deviation of an entity's behavior in comparison to other entities within the same group or cohort. By requiring a minimum of only two entities, ITSI allows for the comparison of entities to detect significant deviations in one entity's performance or behavior, which could indicate potential issues. This method leverages the idea that entities performing similar functions or within the same service should exhibit similar patterns of behavior, and significant deviations could be indicative of anomalies. The low minimum requirement of two entities ensures that this powerful anomaly detection feature can be utilized even in smaller environments.
NEW QUESTION # 18
Which of the following describes a way to delete multiple duplicate entities in ITSI?
Answer: A
Explanation:
Explanation
Import entities from CSV files that contain one or more entity definitions. Importing entities from CSV files is an efficient way to define multiple entities.
NEW QUESTION # 19
When changing a service template, which of the following will be added to linked services by default?
Answer: D
Explanation:
C) New KPIs. This is true because when you add new KPIs to a service template, they will be automatically added to all the services that are linked to that template. This helps you keep your services consistent and up-to-date with the latest KPI definitions.
The other options will not be added to linked services by default because:
A) Thresholds. This is not true because when you change thresholds in a service template, they will not affect the existing thresholds in the linked services. You need to manually apply the threshold changes to each linked service if you want them to inherit the new thresholds from the template.
B) Entity rules. This is not true because when you change entity rules in a service template, they will not affect the existing entity rules in the linked services. You need to manually apply the entity rule changes to each linked service if you want them to inherit the new entity rules from the template.
D) Health score. This is not true because when you change health score settings in a service template, they will not affect the existing health score settings in the linked services. You need to manually apply the health score changes to each linked service if you want them to inherit the new health score settings from the template.
NEW QUESTION # 20
When troubleshooting KPI search performance, which search names in job activity identify base searches?
Answer: A
Explanation:
In the context of troubleshooting KPI search performance in Splunk IT Service Intelligence (ITSI), the search names in the job activity that identify base searches typically follow the pattern "Indicator - Shared - xxxx - ITSI Search." These base searches are fundamental components of the KPI calculation process, aggregating and preparing data for further analysis by KPIs. Identifying these base searches in the job activity is crucial for diagnosing performance issues, as these searches can be resource-intensive and impact overall system performance. Understanding the naming convention helps administrators and analysts quickly pinpoint the base searches related to specific KPIs, facilitating more effective troubleshooting and optimization of search performance within the ITSI environment.
NEW QUESTION # 21
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