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Splunk SPLK-3002 Exam Sample Questions

Question # 1

Which of the following are deployment recommendations for ITSI? (Choose all that apply.)

A. Deployments often require an increase of hardware resources above base Splunk requirements.

B. Deployments require a dedicated ITSI search head.

C. Deployments may increase the number of required indexers based on the number of KPI searches.

D. Deployments should use fastest possible disk arrays for indexers.

Answer

A. Deployments often require an increase of hardware resources above base Splunk requirements. B. Deployments require a dedicated ITSI search head.

C. Deployments may increase the number of required indexers based on the number of KPI searches.

Explanation:

You might need to increase the hardware specifications of your own Enterprise Security deployment above the minimum hardware requirements depending on your environment. Install Splunk Enterprise Security on a dedicated search head or search head cluster. The Splunk platform uses indexers to scale horizontally. The number of indexers required in an Enterprise Security deployment varies based on the data volume, data type, retention requirements, search type, and search concurrency.

Reference:

[Reference: https://docs.splunk.com/Documentation/ES/latest/Install/DeploymentPlanning, A, B, and C are correct answers because ITSI deployments often require more hardware resources than base Splunk requirements due to the high volume of data ingestion and processing. ITSI deployments also require a dedicated search head that runs the ITSI app and handles all ITSI-related searches and dashboards. ITSI deployments may also increase the number of required indexers based on the number and frequency of KPI searches, which can generate a large amount of summary data. References: ITSI deployment overview, ITSI deployment planning]

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Question # 2

What effects does the KPI importance weight of 11 have on the overall health score of a service?

A. At least 10% of the KPIs will go critical.

B. Importance weight is unused for health scoring.

C. The service will go critical.

D. It is a minimum health indicator KPI.

Answer

B. Importance weight is unused for health scoring.

Reference: The KPI importance weight is a value that indicates how much a KPI contributes to the overall health score of a service. The importance weight can range from 1 (lowest) to 10 (highest). The statement that applies when configuring a KPI importance weight of 11 is:, B. Importance weight is unused for health scoring. This is true because an importance weight of 11 is invalid and cannot be used for health scoring. The maximum value for importance weight is 10., The other statements do not apply because:, A. At least 10% of the KPIs will go critical. This is not true because an importance weight of 11 does not affect the severity level of any KPIs., C. The service will go critical. This is not true because an importance weight of 11 does not affect the health score or status of any service., D. It is a minimum health indicator KPI. This is not true because an importance weight of 11 does not indicate anything about the minimum health level of a KPI.

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Question # 3

Which anomaly detection algorithm is included within ITSI?

A. Entity cohesion

B. Standard deviation

C. Linear regression

D. Infantile regression

Answer

A. Entity cohesion

Explanation: Among the anomaly detection algorithms included within Splunk IT Service Intelligence (ITSI), "Entity Cohesion" is a notable option. The Entity Cohesion algorithm is designed to detect anomalies by comparing the behavior of one entity against the collective behavior of a group of similar entities. This approach is particularly useful in scenarios where entities are expected to exhibit similar patterns of behavior under normal conditions. Anomalies are identified when an entity's metrics deviate significantly from the group norm, suggesting a potential issue with thatspecific entity. This method leverages the concept of cohesion among similar entities to enhance the accuracy and relevance of anomaly detection within ITSI environments.

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Question # 4

Which of the following describes entities? (Choose all that apply.)

A. Entities must be IT devices, such as routers and switches, and must be identified by either IP value, host name, or mac address.

B. An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service.

C. Multiple entities can share the same alias value, but must have different role values.

D. To automatically restrict the KPI to only the entities in a particular service, select “Filter to Entities in Service”.

Answer

B. An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service.
D. To automatically restrict the KPI to only the entities in a particular service, select “Filter to Entities in Service”.

Entities are IT components that require management to deliver an IT service. Each entity has specific attributes and relationships to other IT processes that uniquely identify it.
Entities contain alias fields and informational fields that ITSI associates with indexed events. Some statements that describe entities are:
B. An abstract (pseudo/logical) entity can be used to split by for a KPI, although no entity rules or filtering can be used to limit data to a specific service. An abstract entity is an entity that does not represent a physical host or device, but rather a logical grouping of data sources. For example, you can create an abstract entity for each business unit in your organization and use it to split by for a KPI that measures revenue or customer satisfaction. However, you cannot use entity rules or filtering to limit data to a specific service based on abstract entities, because they do not have alias fields that match indexed events.
D. To automatically restrict the KPI to only the entities in a particular service, select “Filter to Entities in Service”. This option allows you to filter the data sources for a KPI by the entities that are assigned to the service. For example, if you have a service for web servers and you want to monitor the CPU load percent for each web server entity, you can select this option to ensure that only the events from those entities are used for the KPI calculation.

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Question # 5

Which of the following applies when configuring time policies for KPI thresholds?

A. A person can only configure 24 policies, one for each hour of the day.

B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00

C. If a person expects a KPI to change significantly through a cycle on a daily basis, don’t use it.

D. It is possible for multiple time policies to overlap.

Answer

B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00

Explanation: Time policies are user-defined threshold values to be used at different times of the day or week to account for changing KPI workloads. Time policies accommodate normal variations in usage across your services and improve the accuracy of KPI and service health scores. For example, if your organization’s peak activity is during the standard work week, you might create a KPI threshold time policy that accounts for higher levels of usage during work hours, and lower levels of usage during off-hours and weekends. The statement that applies when configuring time policies for KPI thresholds is:
B. They are great if you expect normal behavior at 1:00 to be different than normal behavior at 5:00. This is true because time policies allow you to define different thresholdvalues for different time blocks, such as AM/PM, work hours/off hours, weekdays/weekends, and so on. This way, you can account for the expected variations in your KPI data based on the time of day or week.
The other statements do not apply because:
A. A person can only configure 24 policies, one for each hour of the day. This is not true because you can configure more than 24 policies using different time block combinations, such as 3 hour block, 2 hour block, 1 hour block, and so on.
C. If a person expects a KPI to change significantly through a cycle on a daily basis, don’t use it. This is not true because time policies are designed to handle KPIs that change significantly through a cycle on a daily basis, such as web traffic volume or CPU load percent.
D. It is possible for multiple time policies to overlap. This is not true because you can only have one active time policy at any given time. When you create a new time policy, the previous time policy is overwritten and cannot be recovered.

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