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Splunk SPLK-3002 Exam is an excellent certification for IT professionals who work with Splunk IT Service Intelligence. Splunk IT Service Intelligence Certified Admin certification validates the knowledge and skills of IT professionals in deploying, managing, and troubleshooting Splunk IT Service Intelligence. SPLK-3002 exam is vendor-neutral, which means that it is not tied to any specific technology or product. Candidates who pass the exam are well-equipped to work with Splunk IT Service Intelligence in complex IT environments.

Candidates who successfully pass the exam are awarded the Splunk ITSI Certified Admin certification, which demonstrates their expertise in using ITSI to monitor and analyze IT operations. Splunk IT Service Intelligence Certified Admin certification is recognized globally and is highly valued by employers. It is an excellent way for IT professionals to validate their skills and knowledge in using Splunk ITSI and enhance their career prospects. Splunk IT Service Intelligence Certified Admin certification is valid for two years, after which candidates can renew their certification by passing a recertification exam or earning continuing education credits.

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Splunk IT Service Intelligence Certified Admin Sample Questions (Q88-Q93):

NEW QUESTION # 88
Which of the following is an advantage of using adaptive time thresholds?

A. Automatically adjust aggregation policy grouping to manage escalating severity.
B. Automatically adjust correlation search thresholds to adjust sensitivity over time.
C. Automatically update thresholds daily to manage dynamic changes to KPI values.
D. Automatically adjust KPI calculation to manage dynamic event data.

Answer: C

Explanation:
Reference:
Adaptive thresholds are thresholds calculated by machine learning algorithms that dynamically adapt and change based on the KPI's observed behavior. Adaptive thresholds are useful for monitoring KPIs that have unpredictable or seasonal patterns that are difficult to capture with static thresholds. For example, you might use adaptive thresholds for a KPI that measures web traffic volume, which can vary depending on factors such as holidays, promotions, events, and so on. The advantage of using adaptive thresholds is:
A) Automatically update thresholds daily to manage dynamic changes to KPI values. This is true because adaptive thresholds use historical data from a training window to generate threshold values for each time block in a threshold template. Each night at midnight, ITSI recalculates adaptive threshold values for a KPI by organizing the data from the training window into distinct buckets and then analyzing each bucket separately. This way, the thresholds reflect the most recent changes in the KPI data and account for any anomalies or trends.
The other options are not advantages of using adaptive thresholds because:
B) Automatically adjust KPI calculation to manage dynamic event data. This is not true because adaptive thresholds do not affect the KPI calculation, which is based on the base search and the aggregation method. Adaptive thresholds only affect the threshold values that are used to determine the KPI severity level.
C) Automatically adjust aggregation policy grouping to manage escalating severity. This is not true because adaptive thresholds do not affect the aggregation policy, which is a set of rules that determines how to group notable events into episodes. Adaptive thresholds only affect the threshold values that are used to generate notable events based on KPI severity level.
D) Automatically adjust correlation search thresholds to adjust sensitivity over time. This is not true because adaptive thresholds do not affect the correlation search, which is a search that looks for relationships between data points and generates notable events. Adaptive thresholds only affect the threshold values that are used by KPIs, which can be used as inputs for correlation searches.

NEW QUESTION # 89
Which index will contain useful error messages when troubleshooting ITSI issues?

A. itsi_summary
B. itsi_notable_audit
C. _internal
D. _introspection

Answer: C

NEW QUESTION # 90
Which ITSI functions generate notable events? (Choose all that apply.)

A. KPI threshold breaches.
B. Correlation search.
C. KPI anomaly detection.
D. Multi-KPI alert.

Answer: A,B,C

Explanation:
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.

NEW QUESTION # 91
What are valid ITSI Glass Table editor capabilities? (Choose all that apply.)

A. Correlation search creation.
B. Creating glass tables.
C. Service swapping configuration.
D. Adding KPI metric lanes to glass tables.

Answer: B,C,D

Explanation:
Create a glass table to visualize and monitor the interrelationships and dependencies across your IT and business services.
The service swapping settings are saved and apply the next time you open the glass table.
You can add metrics like KPIs, ad hoc searches, and service health scores that update in real time against a background that you design. Glass tables show real-time data generated by KPIs and services.
Reference:
The glass table editor is a tool that allows you to create and edit glass tables in ITSI. Some of the capabilities of the glass table editor are:
Creating glass tables from scratch or from existing templates.
Configuring service swapping on widgets to toggle displaying metrics from different services.
Adding KPI metric lanes to glass tables to show historical trends of KPI values.
The glass table editor does not support correlation search creation, which is a separate feature in ITSI that allows you to create searches that look for relationships between data points and generate notable events. Reference: Overview of the glass table editor in ITSI, [Configure service swapping on glass tables], [Add KPI metric lanes to glass tables], [Overview of correlation searches in ITSI]

NEW QUESTION # 92
Which of the following are characteristics of ITSI service dependencies? (select all that apply)

A. Impactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.
B. If a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.
C. Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.
D. It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.

Answer: C,D

Explanation:
In the context of Splunk IT Service Intelligence (ITSI), service dependencies allow for the modeling of relationships between services, where the health of one service (dependent) can affect the health of another (primary).
B) It is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service: Utilizing the 'ServiceHealthScore' KPI of a dependent service as part of the primary service's health calculation is a recommended practice. This approach ensures that changes in the health of the dependent service directly influence the primary service's overall health score, providing a more holistic view of service health within the IT environment.
C) Setting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score: When a dependent service's KPI is incorporated into a primary service, the importance level assigned to this KPI is factored into the primary service's overall health score calculation just like any other KPI. This means that the impact of the dependent service on the primary service can be weighted according to the business significance of the relationship between the services.
The other options are not accurate representations of ITSI service dependencies. Changes in KPI importance levels do not break dependencies, and there is no restriction on configuring impactful dependent services to only one primary service, as dependencies can be complex and multi-layered across various services.

NEW QUESTION # 93
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