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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ITSI Service Design | 18% | - Service Health Score calculation - Entity templates and filters - Service dependencies and dependencies view - Creating and configuring services |
| Topic 2: Service Discovery and Installation | 8% | - Creating adaptive threshold templates - Service Discovery overview - Service Discovery installation |
| Topic 3: ITSI Overview and Concepts | 8% | - Entities and services - ITSI key concepts and terminology - ITSI product overview |
| Topic 4: Glass Tables | 14% | - Creating Glass Tables - Configuring Glass Table elements - Entity Drilldown |
| Topic 5: ITOA Administration | 10% | - ITOA dashboard overview - Configuring ITOA |
| Topic 6: ITSI Administration | 14% | - Managing services using deep dives - ITSI searches and scheduled searches - Backup and restore ITSI configuration - KPI base searches and aggregation |
| Topic 7: ITSI Analytics | 12% | - Glass Table thresholds - Configuring aggregation policies - Notable Events and aggregation policies |
| Topic 8: Advanced Topics | 16% | - ITSI content management - Service-level availability reporting - ITSI and Splunk Enterprise Security integration - Custom KPIs and calculations |
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NEW QUESTION # 16
What is the range for a normal Service Health score category?
Answer: C
Explanation:
In Splunk IT Service Intelligence (ITSI), the Service Health Score is a metric that provides a quantifiable measure of the overall health and performance of a service. The score ranges from 0 to 100, with higher scores indicating better health. The range for a normal Service Health score category is typically from 80 to
100. Scores within this range suggest that the service is performing well, with no significant issues affecting its health. This categorization helps IT and business stakeholders quickly assess the operational status of their services, enabling them to focus on services that may require attention or intervention due to lower health scores.
NEW QUESTION # 17
Which of the following is a characteristic of notable event groups?
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), notable event groups are used to logically group related notable events, which enhances the manageability and analysis of events:
A) Notable event groups combine independent notable events: This characteristic allows for the aggregation of related events into a single group, making it easier for users to manage and investigate related issues. By grouping events, users can focus on the broader context of an issue rather than getting lost in the details of individual events.
While notable event groups play a critical role in organizing and managing events in ITSI, they do not inherently allow users to adjust threshold settings, which is typically handled at the KPI or service level. Additionally, while notable event groups are utilized within the ITSI framework, the statement that they are created in the 'itsi_tracked_alerts' index might not fully capture the complexity of how event groups are managed and stored within the ITSI architecture.
NEW QUESTION # 18
When changing a service template, which of the following will be added to linked services by default?
Answer: C
Explanation:
Explanation
Link multiple services to a service template to manage them collectively in IT Service Intelligence (ITSI). A service can only be linked to one service template at a time. When you link a service to a service template, any existing KPIs in the service are preserved and KPIs in the template are added to the service. You can choose to append, replace, or keep entity rules.
NEW QUESTION # 19
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
Answer: A
Explanation:
B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. References: Configure adaptive thresholding for a KPI in ITSI
NEW QUESTION # 20
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
Answer: B
Explanation:
Reference:
When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:
B) Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data. This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.
The other options are not things you should consider because:
A) Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using | stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs. You should use | stats functions only in base searches or ad hoc searches, not in custom fields.
C) Make sure that all fields conform to CIM, then use the corresponding module to import related services. This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.
D) Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.
NEW QUESTION # 21
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