Splunk SPLK-3002 Exam Practice Test Instant Access

Question 1

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

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

BDeployments require a dedicated ITSI search head.

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

DDeployments should use fastest possible disk arrays for indexers.

Answer : A, B, C

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.

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. Reference:ITSI deployment overview,ITSI deployment planning

Question 2

Which of the following is a best practice for identifying the most effective services with which to start an iterative ITSI deployment?

AOnly include KPIs if they will be used in multiple services.

BAnalyze the business to determine the most critical services.

CFocus on low-level services.

DDefine a large number of key services early.

Answer : B

A best practice for identifying the most effective services with which to start an iterative ITSI deployment is to analyze the business to determine the most critical services that have the most impact on revenue, customer satisfaction, or other key performance indicators. You can use the Service Analyzer to prioritize and monitor these services. Reference:Service Analyzer

Question 3

Besides creating notable events, what are the default alert actions a correlation search can execute? (Choose all that apply.)

APing a host.

BSend email.

CInclude in RSS feed.

DRun a script.

Answer : B, C, D

Throttling applies to any correlation search alert type, including notable events and actions (RSS feed, email, run script, and ticketing).

B, C, and D are correct answers because they are the default alert actions that a correlation search can execute besides creating notable events. You can configure a correlation search to send an email, include the results in an RSS feed, or run a custom script when the search matches a defined pattern. Ping a host is not a default alert action for correlation searches. Reference:Configure correlation search settings in ITSI

Question 4

Which of the following is a good use case for a Multi-KPI alert?

AAlerting when the values of two or more KPIs go into maintenance mode.

BAlerting when the trend of two or more KPIs indicates service failure is imminent.

CAlerting when two or more KPIs are deviating from their typical pattern.

DAlerting when comparing the values of two or more KPIs indicates an unusual condition is occurring.

Answer : D

A Multi-KPI alert in Splunk IT Service Intelligence (ITSI) is designed to trigger based on the conditions of multiple Key Performance Indicators (KPIs). This type of alert is particularly useful when a single KPI's state is not sufficient to indicate an issue, but the correlation between multiple KPIs can provide a clearer picture of an emerging problem. The best use case for a Multi-KPI alert is therefore when comparing the values of two or more KPIs indicates an unusual condition is occurring. This allows for more nuanced and context-rich alerting mechanisms that can identify complex issues not detectable by monitoring individual KPIs. This approach is beneficial in complex environments where the interplay between different performance metrics needs to be considered to accurately detect and diagnose issues.

Question 5

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

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

BAn 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.

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

DTo automatically restrict the KPI to only the entities in a particular service, select ''Filter to Entities in Service''.

Answer : B, D

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.

Question 6

Which of the following is a characteristic of base searches?

ASearch expression, entity splitting rules, and thresholds are configured at the base search level.

BIt is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.

CThe fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.

DThe base search will execute whether or not a KPI needs it.

Answer : B

A base search is a search definition that can be shared across multiple KPIs that use the same data source. Base searches can improve search performance and reduce search load by consolidating multiple similar KPIs. One of the characteristics of base searches is that it is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs. This means that you can use entity filtering rules to specify which entities are relevant for each KPI based on the base search results. Reference:Create KPI base searches in ITSI, [Filter entities for KPIs based on base searches]

Question 7

Which of the following is the best use case for configuring a Multi-KPI Alert?

AComparing content between two notable events.

BUsing machine learning to evaluate when data falls outside of an expected pattern.

CComparing anomaly detection between two KPIs.

DRaising an alert when one or more KPIs indicate an outage is occurring.

Answer : D

A multi-KPI alert is a type of correlation search that is based on defined trigger conditions for two or more KPIs. When trigger conditions occur simultaneously for each KPI, the search generates a notable event. For example, you might create a multi-KPI alert based on two common KPIs: CPU load percent and web requests. A sudden simultaneous spike in both CPU load percent and web request KPIs might indicate a DDOS (Distributed Denial of Service) attack. Multi-KPI alerts can bring such trending behaviors to your attention early, so that you can take action to minimize any impact on performance. Multi-KPI alerts are useful for correlating the status of multiple KPIs across multiple services. They help you identify causal relationships, investigate root cause, and provide insights into behaviors across your infrastructure. The best use case for configuring a multi-KPI alert is to raise an alert when one or more KPIs indicate an outage is occurring, such as when the service health score drops below a certain threshold or when multiple KPIs have critical severity levels. Reference:Create multi-KPI alerts in ITSI

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