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Countless SPLK-3002 exam candidates have passed their Splunk IT Service Intelligence Certified Admin (SPLK-3002) exam and they all got help from real and updated Splunk SPLK-3002 exam questions. You can also be the next successful candidate for the SPLK-3002 Certification Exam. Both will give you a real-time SPLK-3002 exam preparation environment and you get experience to attempt the SPLK-3002 exam preparation experience before the final exam.
Splunk SPLK-3002 certification exam is a valuable credential for IT professionals who want to demonstrate their expertise in using Splunk ITSI to monitor, analyze, and troubleshoot complex IT environments. By passing SPLK-3002 Exam, candidates can enhance their career opportunities and increase their earning potential.
SPLK-3002 Reliable Test Blueprint - SPLK-3002 Exam FlashcardsThe SPLK-3002 Practice Questions are designed and verified by experienced and renowned Splunk IT Service Intelligence Certified Admin exam trainers. They work collectively and strive hard to ensure the top quality of FreeDumps SPLK-3002 exam practice questions all the time. The SPLK-3002 Exam Questions are real, updated, and error-free that helps you in Splunk IT Service Intelligence Certified Admin exam preparation and boost your confidence to crack the upcoming SPLK-3002 exam easily. Splunk IT Service Intelligence Certified Admin Sample Questions (Q73-Q78):NEW QUESTION # 73
Which of the following describes enabling smart mode for an aggregation policy?
A. Edit the aggregation policy, enable smart mode, select fields to analyze, click "Save"
C. Edit the notable event view, enable smart mode, select "fields", and click "Save"
D. Enable grouping in Notable Event Review, select "Smart Mode", select "fields", and click "Save"
Answer: A
Explanation:
1. From the ITSI main menu, click Configuration > Notable Event Aggregation Policies.
2. Select a custom policy or the Default Policy.
3. Under Smart Mode grouping, enable Smart Mode.
4. Click Select fields. A dialog displays the fields found in your notable events from the last 24 hours.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/EA/SmartMode C is the correct answer because smart mode is a feature of aggregation policies that allows ITSI to automatically group notable events based on the fields that have the most impact on the event occurrence.
You can enable smart mode for an aggregation policy by editing the policy, selecting the smart mode option, and choosing the fields to analyze. You can also specify a minimum number of events to trigger smart mode and a maximum number of groups to create. References: Configure smart mode for aggregation policies in ITSI
NEW QUESTION # 74
Which of the following is a problem requiring correction in ITSI?
A. Twoormore entitieswiththe same entity key value inanyinfo field.
B. Twoormore entitieswiththe same value in a single alias field.
C. Twoormore entitieswiththe same service ID.
D. Twoormore entitieswiththe same entity ID.
Answer: B
Explanation:
In Splunk IT Service Intelligence (ITSI), entities represent infrastructure components, applications, or other elements that are monitored. Each entity is uniquely identified by its entity ID, and entities can be associated with one or more services through the concept of aliases. A problem arises when two or more entities have the same value in a single alias field because aliases are used to match events to entities in ITSI. If multiple entities share the same alias value, ITSI might incorrectly associate data with the wrong entity, leading to inaccurate monitoring and analytics. This scenario requires correction to ensure that each alias uniquely identifies a single entity, thereby maintaining the integrity of the monitoring and analysis process within ITSI.
The uniqueness of service IDs, entity IDs, and entity key values in info fields is also important but does not typically present the same level of issue as duplicate values in an alias field.
NEW QUESTION # 75
What is the default importance value for dependent services' health scores?
A. Unassigned
B. 0
C. 1
D. 2
Answer: B
Explanation:
By default, impacting service health scores have an importance value of 11.
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/Dependencies A service template is a predefined set of KPIs and entity rules that you can apply to a service or a group of services. A service template helps you standardize the configuration and monitoring of similar services across your IT environment. A service template can also include dependent services, which are services that are required for another service to function properly. For example, a web server service might depend on a database service and a network service. The default importance value for dependent services' health scores is:
D). 10. This is true because the importance value indicates how much a dependent service contributes to the health score of the parent service. The default value is 10, which means that the dependent service has the highest impact on the parent service's health score. You can change the importance value of a dependent service in the service template settings.
The other options are not correct because:
A). 11. This is not true because 11 is an invalid value for importance. The valid range is from 1 (lowest) to 10 (highest).
B). 1. This is not true because 1 is the lowest value for importance, not the default value. A value of 1 means that the dependent service has the lowest impact on the parent service's health score.
C). Unassigned. This is not true because every dependent service has an assigned importance value, which defaults to 10.
References: Create and manage service templates in ITSI, Set KPI importance values in ITSI
NEW QUESTION # 76
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
A. Adaptive thresholding.
B. Maintenance windows
C. Correlation searches.
D. Anomaly detection.
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. Reference: Configure adaptive thresholding for a KPI in ITSI
NEW QUESTION # 77
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
A. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
B. Use | stats functions in custom fields to prepare the data for KPI calculations.
C. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
D. Plan to build as many data models as possible for ITSI to leverage
Answer: A
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 # 78
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