Splunk SPLK-3002 Exam Practice Test Instant Access

Question 1

Which of the following is a characteristic of custom deep dives?

AAllows itoa_analyst roles to add comments.

BRequires at least 7 days' data to show anomalies.

CCombines metric, event, KPI, and service health score lanes.

DUses drilldown to generate notable events via anomaly detection.

Answer : C

Custom deep dives in Splunk IT Service Intelligence (ITSI) are versatile and highly customizable dashboards that allow users to analyze various types of data in a unified view. One of the key characteristics of custom deep dives is their ability to combine lanes of different data types, such as metrics, events, Key Performance Indicators (KPIs), and service health scores. This multifaceted approach provides a comprehensive and layered view of the IT environment, enabling analysts and operators to correlate different data types and gain deeper insights into the health and performance of services. By incorporating these diverse data lanes, custom deep dives facilitate a more holistic understanding of the operational landscape, aiding in more effective troubleshooting and decision-making.

Question 2

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

AIf a primary service has a dependent service KPI and the KPI's importance level is changed, the dependency is broken.

BIt is best practice to use the dependent service's built-in 'ServiceHealthScore' KPI to reflect impact to the primary service.

CSetting the dependent service KPI importance level will be treated as any other KPI in the primary service's health score.

DImpactful dependent services should only be configured to one primary service to avoid false negatives in Multi KPI Alerts.

Answer : B, C

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.

Question 3

After ITSI is initially deployed for the operations department at a large company, another department would like to use ITSI but wants to keep their information private from the operations group. How can this be achieved?

ACreate service templates for each group and create the services from the templates.

BCreate teams for each department and assign KPIs to each team.

CCreate services for each group and set the permissions of the services to restrict them to each group.

DCreate teams for each department and assign services to the teams.

Answer : D

In Splunk IT Service Intelligence (ITSI), creating teams for each department and assigning services to those teams is an effective way to segregate data and ensure that information remains private between different groups within an organization. Teams in ITSI provide a mechanism for role-based access control, allowing administrators to define which users or groups have access to specific services, KPIs, and dashboards. By setting up teams corresponding to each department and then assigning services to these teams, ITSI can accommodate multi-departmental use within the same instance while maintaining strict access controls. This ensures that each department can only view and interact with the data and services relevant to their operations, preserving confidentiality and data integrity across the organization.

Question 4

What happens when an anomaly is detected?

AA separate correlation search needs to be created in order to see it.

BA SNMP trap will be sent.

CAn anomaly alert will appear in core splunk, in index=main.

DAn anomaly alert will appear as a notable event in Episode Review.

Answer : D

When an anomaly is detected in Splunk IT Service Intelligence (ITSI), it typically generates a notable event that can be reviewed and managed in the Episode Review dashboard. The Episode Review is part of ITSI's Event Analytics framework and serves as a centralized location for reviewing, annotating, and managing notable events, including those generated by anomaly detection. This process enables IT operators and analysts to efficiently identify, prioritize, and respond to potential issues highlighted by the anomaly alerts. The integration of anomaly alerts into the Episode Review dashboard streamlines the workflow for managing and investigating these alerts within the broader context of IT service management and operational intelligence.

Question 5

Which of the following statements is accurate when using multiple policies?

ANew policies are applied after the default policy.

BPolicy processing is applied in a defined order.

CAn event can be processed by only a single policy.

DNew policies are applied before the default policy.

Answer : B

In Splunk IT Service Intelligence (ITSI), when using multiple event management policies, it is important to understand that policy processing is applied in a defined order. This order is crucial because it determines how events are processed and aggregated, and which rules are applied to events first. The order of policies can be customized, allowing administrators to prioritize certain policies over others based on the specific needs and operational logic of their IT environment. This feature provides flexibility in event management, enabling more precise control over event processing and ensuring that the most critical events are handled according to the desired precedence. This structured approach to policy processing helps in maintaining the efficiency and effectiveness of event management within ITSI.

Question 6

Which of the following is a problem requiring correction in ITSI?

ATwo or more entities with the same service ID.

BTwo or more entities with the same entity ID.

CTwo or more entities with the same value in a single alias field.

DTwo or more entities with the same entity key value in any info field.

Answer : C

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.

Question 7

Which of the following describes default deep dives?

AAre manually generated and can be accessed via the Service Analyzer.

BInclude all KPIs of all services.

CAre auto-generated and can be accessed via the Service Analyzer.

DInclude health scores of all services.

Answer : C

In Splunk IT Service Intelligence (ITSI), default deep dives are auto-generated and can be accessed via the Service Analyzer. Deep dives are an essential feature of ITSI that provide an in-depth, granular view into the health and performance of services and their associated KPIs. These default deep dives are automatically created for each service, allowing users to quickly drill down into the detailed operational metrics and performance data of their services. By accessing these deep dives through the Service Analyzer, ITSI users can efficiently investigate issues, understand service dependencies, and make informed decisions to maintain optimal service health. The auto-generated nature of these default deep dives simplifies the monitoring and analysis process, providing immediate insights into service performance without the need for manual setup or configuration.

Splunk SPLK-3002 Splunk IT Service Intelligence Certified Admin Exam Practice Test