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| Section | Objectives |
|---|---|
| Data Inputs and Content Management | - Data onboarding into ITSI - Episode Review and event grouping |
| Glass Tables and Visualization | - Visualization objects and drilldowns - Dashboard design principles |
| ITSI Maintenance and Troubleshooting | - Performance tuning and health monitoring - Common configuration issues |
| Service and KPI Configuration | - Service dependencies and hierarchy design - KPI creation and thresholds |
| IT Service Intelligence (ITSI) Fundamentals | - Services, KPIs, and glass tables - ITSI architecture and components |
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NEW QUESTION # 73
Which glass table feature can be used to toggle displaying KPI values from more than one service on a single widget?
Answer: C
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/Visualizations#collapseDesktop8 A glass table is a visualization tool that allows you to monitor the interrelationships and dependencies across your IT and business services. You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. One of the features of glass tables is service swapping, which enables you to toggle displaying KPI values from more than one service on a single widget.
You can use service swapping to compare metrics across different services without creating multiple glass tables or widgets. References: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables]
NEW QUESTION # 74
What is the range for a normal Service Health score category?
Answer: D
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 # 75
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 # 76
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
Answer: D
Explanation:
Reference: https://newoutlook.it/download/book/splunk/advanced-splunk.pdf 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.
References: Overview of modules in ITSI, [Install technical add-ons for ITSI modules]
NEW QUESTION # 77
Which of the following is a good use case regarding defining entities for a service?
Answer: D
Explanation:
Define entities before creating services. When you configure a service, you can specify entity matching rules based on entity aliases that automatically add the entities to your service.
Reference:
A is the correct answer because defining entities for a service allows you to automatically associate entities to services using multiple entity aliases. Entity aliases are alternative names or identifiers for an entity, such as host name, IP address, MAC address, or DNS name. ITSI matches entity aliases to fields in your data sources and assigns entities to services accordingly. This way, you can avoid manually adding entities to each service and ensure that your services reflect the latest changes in your environment. Reference: Define entities for a service in ITSI
NEW QUESTION # 78
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