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

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Total 90 questions
Question 1

Which of the following is a characteristic of notable event groups?



Answer : A

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 2

What can a KPI widget on a glass table drill down into?



Answer : D

In Splunk IT Service Intelligence (ITSI), a KPI widget on a glass table can be configured to drill down into a variety of destinations based on the needs of the user and the design of the glass table. This flexibility allows users to dive deeper into the data or analysis represented by the KPI widget, providing context and additional insights. The destinations for drill-downs from a KPI widget can include:

A) Another glass table, offering a different perspective or more detailed view related to the KPI. B. A Splunk dashboard that provides broader analysis or incorporates data from multiple sources. C. A custom deep dive for in-depth, time-series analysis of the KPI and related metrics.

This versatility makes KPI widgets powerful tools for navigating through the wealth of operational data and insights available in ITSI, facilitating effective monitoring and decision-making.


Question 3

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



Answer : B, C

Service templates in Splunk IT Service Intelligence (ITSI) are designed to streamline the creation of services by providing pre-defined configurations:

B) Service templates contain KPIs and KPI thresholds: This allows for the standardized deployment of services with predefined performance indicators and their associated thresholds, ensuring consistency across similar services.

C) Service templates can contain specific or generic entity rules: These rules define how entities are associated with services created from the template, allowing for both broad and targeted applicability.

While service templates contain configurations for KPIs, thresholds, and entity rules, the ability to modify templates after services have been instantiated from them is limited. Changes to a template do not retroactively affect services already created from that template. Moreover, service templates do not inherently contain domain-specific dashboards or deep dives; these are created separately within ITSI.


Question 4

Which of the following items describe ITSI teams? (select all that apply)



Answer : B, C, D

In Splunk IT Service Intelligence (ITSI), teams are used to organize services, KPIs, and other objects within ITSI to facilitate access control and management:

B) Services should be assigned to the 'global' team if all users need access to it: The 'global' team in ITSI is a built-in concept that denotes universal accessibility. Assigning services to the 'global' team makes them accessible to all ITSI users, irrespective of their specific team memberships. This is useful for services that are relevant across the entire organization.

C) By default, all services are owned by the built-in 'global' team and administered by the 'itoa_admin' role: This default setting ensures that upon creation, services are accessible to administrators and can be further re-assigned or refined for access by specific teams as needed.

D) A new team admin role should be created for each team. The new role should inherit the 'itoa_team_admin' role: This best practice allows for granular access control and management within teams. Each team can have its own administrators with the appropriate level of access and permissions tailored to the needs of that team, derived from the capabilities of the 'itoa_team_admin' role.

The concept of adding 'itoa admin roles' with read-only permissions contradicts the typical use case for administrative roles, which usually require more than read-only access to manage services and entities effectively.


Question 5

How can admins manually control groupings of notable events?



Answer : D

In Splunk IT Service Intelligence (ITSI), administrators can manually control the grouping of notable events using aggregation policies. Aggregation policies allow for the definition of criteria based on which notable events are grouped together. This includes configuring rules based on event fields, severity, source, or other event attributes. Through these policies, administrators can tailor the event grouping logic to meet the specific needs of their environment, ensuring that related events are grouped in a manner that facilitates efficient analysis and response. This feature is crucial for managing the volume of events and focusing on the most critical issues by effectively organizing related events into manageable groups.


Question 6

What is the minimum number of entities a KPI must be split by in order to use Entity Cohesion anomaly detection?



Answer : D

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 7

How should entities be handled during the data audit phase of requirements gathering?



Answer : A

During the data audit phase of requirements gathering for Splunk IT Service Intelligence (ITSI), it's crucial to identify and record the meta-data for entities, focusing on information (info) and aliases. This step involves understanding and documenting the key attributes and identifiers that describe each entity, such as host names, IP addresses, device types, or other relevant characteristics. These attributes are used to categorize and uniquely identify entities within ITSI, enabling more effective mapping of data to services and KPIs. By meticulously recording this meta-data, organizations ensure that their ITSI implementation is aligned with their specific monitoring needs and infrastructure, facilitating accurate service modeling and event management. This practice is foundational for setting up ITSI to reflect the actual IT environment, enhancing the relevance and effectiveness of the monitoring and analysis capabilities.


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Total 90 questions