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SPLK-3002 Practice Questions

Question # 1
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
A. Correlation searches.
B. Adaptive thresholding.
C. Maintenance windows
D. Anomaly detection.


B. Adaptive thresholding.

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.

Question # 2
Which of the following is a good use case regarding defining entities for a service?
A. Automatically associate entities to services using multiple entity aliases.
B. All of the entities have the same identifying field name.
C. Being able to split a CPU usage KPI by host name.
D. KPI total values are aggregated from multiple different category values in the source events.


A. Automatically associate entities to services using multiple entity aliases.

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: [Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/Entity/About
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.
References: Define entities for a service in ITSI]

Question # 3
What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?
A. 3
B. 4
C. 5
D. 2


D. 2

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.

Question # 4
Which of the following is a characteristic of notable event groups?
A. Notable event groups combine independent notable events
B. Notable event groups are created in the itsi_tracked_alerts index.
C. Notable event groups allow users to adjust threshold settings.
D. All of the above.


A. Notable event groups combine independent notable events

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.

Question # 5
What is the range for a normal Service Health score category?
A. 20-40
B. 40-60
C. 60-80
D. 80-100


D. 80-100

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.

Question # 6
What is the main purpose of the service analyzer?
A. Display a list of All Services and Entities.
B. Trigger external alerts based on threshold violations.
C. Allow Analysts to add comments to Alerts.
D. Monitor overall Service and KPI status.


D. Monitor overall Service and KPI status.

Explanation:
Reference: [Reference: https://docs.splunk.com/Documentation/MSExchange/4.0.3/Reference/ServiceAnalyzer, The service analyzer is a dashboard that allows you to monitor the overall service and KPI status in ITSI. The service analyzer displays a list of all services and their health scores, which indicate how well each service is performing based on its KPIs. You can also view the status and values of each KPI within a service, as well as drill down into deep dives or glass tables for further analysis. The service analyzer helps you identify issues affecting your services and prioritize them based on their impact and urgency.
The main purpose of the service analyzer is:, D. Monitor overall service and KPI status. This is true because the service analyzer provides a comprehensive view of the health and performance of your services and KPIs in real time., The other options are not the main purpose of the service analyzer because:, A. Display a list of all services and entities. This is not true because the service analyzer does not display entities, which are IT components that require management to deliver an IT service.
Entities are displayed in other dashboards, such as entity management or entity health overview., B. Trigger external alerts based on threshold violations. This is not true because the service analyzer does not trigger alerts, which are notifications sent to external systems or users when certain conditions are met. Alerts are triggered by correlation searches or alert actions configured in ITSI., C. Allow analysts to add comments to alerts. This is not true because the service analyzer does not allow analysts to add comments to alerts, which are notifications sent to external systems or users, ]

Question # 7
Which of the following services often has KPIs but no entities?
A. Security Service.
B. Network Service.
C. Business Service.
D. Technical Service.


C. Business Service.

Explanation:
In the context of Splunk IT Service Intelligence (ITSI), a Business Service often has Key Performance Indicators (KPIs) but might not have directly associated entities. Business Services represent high-level aggregations of organizational functions or processes and are typically measured by KPIs that reflect the performance of underlying technical services or components rather than direct infrastructure entities. For example, a Business Service might monitor overall transaction completion times or customer satisfaction scores, which are abstracted from the specific technical entities that underlie these metrics. This abstraction allows Business Services to provide a business-centric view of IT health and performance, focusing on outcomes rather than specific technical components.

Question # 8
Which of the following is a good use case for a Multi-KPI alert?
A. Alerting when the values of two or more KPIs go into maintenance mode.
B. Alerting when the trend of two or more KPIs indicates service failure is imminent.
C. Alerting when two or more KPIs are deviating from their typical pattern.
D. Alerting when comparing the values of two or more KPIs indicates an unusual condition is occurring.


D. Alerting when comparing the values of two or more KPIs indicates an unusual condition is occurring.

Explanation: A Multi-KPI alert in Splunk IT Service Intelligence (ITSI) is designed to trigger based on the conditions of multiple Key Performance Indicators (KPIs). This type of alert is particularly useful when a single KPI's state is not sufficient to indicate an issue, but the correlation between multiple KPIs can provide a clearer picture of an emerging problem. The best use case for a Multi-KPI alert is therefore when comparing the values of two or more KPIs indicates an unusual condition is occurring. This allows for more nuanced and context-rich alerting mechanisms that can identify complex issues not detectable by monitoring individual KPIs. This approach is beneficial in complex environments where the interplay between different performance metrics needs to be considered to accurately detect and diagnose issues.

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Splunk SPLK-3002 Exam Dumps

Exam Name: Splunk IT Service Intelligence Certified Admin Exam
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