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Free Splunk SPLK-3002 Exam Questions and Answer
Splunk SPLK-3002 exam is an essential certification for IT professionals who want to demonstrate their expertise in managing Splunk ITSI deployments. Splunk IT Service Intelligence Certified Admin certification validates the candidate's ability to deploy, configure, and administer ITSI to monitor and analyze IT data for efficient service delivery. Splunk IT Service Intelligence Certified Admin certification is globally recognized and enhances the candidate's credibility, opening up new career opportunities in IT operations, service management, and security.
NEW QUESTION # 56
Which of the following is a recommended best practice for service and glass table design?
- A. Always use the standard icons for glass table widgets to improve portability.
- B. Plan and implement services first, then build detailed glass tables.
- C. Start with base searches, then services, and then glass tables.
- D. Design glass tables first to discover which KPIs are important.
Answer: B
NEW QUESTION # 57
Which of the following is a good use case for creating a custom module?
- A. Modules are required to be able to create custom visualizations for deep dives.
- B. Making it easy to migrate KPI base searches and related visualizations to other ITSI installations.
- C. Modules are required to create entity and service import searches.
- D. Creating a service template to make it easy to automatically create new services during service and entity import.
Answer: B
Explanation:
Creating a custom module in Splunk IT Service Intelligence (ITSI) is particularly beneficial for the purpose of migrating KPI base searches and related visualizations to other ITSI installations. Custom modules can encapsulate a set of configurations, searches, and visualizations that are tailored to specific monitoring needs or environments. By packaging these elements into a module, it becomes easier to transfer, deploy, and maintain consistency across different ITSI instances. This modularity supports the reuse of developed components, simplifying the process of scaling and replicating monitoring setups in diverse operational contexts. The ability to migrate these components seamlessly enhances operational efficiency and ensures that best practices and custom configurations can be shared across an organization's ITSI deployments.
NEW QUESTION # 58
Which of the following is a recommended best practice for service and glass table design?
- A. Always use the standard icons for glass table widgets to improve portability.
- B. Plan and implement services first, then build detailed glass tables.
- C. Start with base searches, then services, and then glass tables.
- D. Design glass tables first to discover which KPIs are important.
Answer: B
Explanation:
Reference:
A is the correct answer because it is recommended to plan and implement services first, then build detailed glass tables that reflect the service hierarchy and dependencies. This way, you can ensure that your glass tables provide accurate and meaningful service-level insights. Building glass tables first might lead to unnecessary or irrelevant KPIs that do not align with your service goals. Reference: Splunk IT Service Intelligence Service Design Best Practices
NEW QUESTION # 59
Which of the following items describe ITSI Backup and Restore functionality? (Choose all that apply.)
- A. kvstore_to_json.py can be used in scripts or command line to backup ITSI for full or partial backups.
- B. ITSI backup is inclusive of KV Store, ITSI Configurations, and index dependencies.
- C. A pre-configured default ITSI backup job is provided that can be modified, but not deleted.
- D. ITSI backups are stored as a collection of JSON formatted files.
Answer: A,D
Explanation:
ITSI provides a kvstore_to_json.py script that lets you backup/restore ITSI configuration data, perform bulk service KPI operations, apply time zone offsets for ITSI objects, and regenerate KPI search schedules.
When you run a backup job, ITSI saves your data to a set of JSON files compressed into a single ZIP file.
Reference:
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/kvstorejson
https://docs.splunk.com/Documentation/ITSI/4.10.2/Configure/BackupandRestoreITSIconfig C and D are correct answers because ITSI backup and restore functionality uses kvstore_to_json.py as a command line script or as part of custom scripts to backup ITSI data for full or partial backups. ITSI backups are also stored as a collection of JSON formatted files that contain KV store objects such as services, KPIs, glass tables, etc. A is not a correct answer because there is no pre-configured default ITSI backup job provided. You can create your own backup jobs or use the command line script or custom scripts to backup ITSI data. B is not a correct answer because ITSI backup is not inclusive of index dependencies. ITSI backup only includes KV store objects and optionally some .conf files. You need to use other methods to backup index data. References: [Overview of backing up and restoring ITSI KV store data], [Create a full backup of ITSI], [Create a partial backup of ITSI]
NEW QUESTION # 60
Which of the following are characteristics of service templates? (select all that apply)
- A. Service templates contain domain specific dashboards and deep dives.
- B. Service templates contain KPIs and KPI thresholds.
- C. Service templates can contain specific or generic entity rules.
- D. Service templates can be modified after services are instantiated from it.
Answer: B,C
Explanation:
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.
NEW QUESTION # 61
When installing ITSI to support a Distributed Search Architecture, which of the following items apply? (Choose all that apply.)
- A. Extract ITSI app package into etc/apps directory of search head.
- B. Copy SA-IndexCreation to all indexers.
- C. Extract installer package into etc/apps directory of the cluster deployer node.
- D. Copy SA-IndexCreation to the etc/apps directory on the index cluster master node.
Answer: B
Explanation:
Copy SA-IndexCreation to $SPLUNK_HOME/etc/apps/ on all individual indexers in your environment.
Reference:
A is the correct answer because when installing ITSI to support a distributed search architecture, you need to copy SA-IndexCreation to all indexers. SA-IndexCreation is an app that contains the definitions of the ITSI indexes, such as itsi_summary, itsi_tracked_alerts, itsi_grouped_alerts, etc. You need to copy this app to all indexers to ensure that they can store and search the ITSI data. B is not a correct answer because you do not need to copy SA-IndexCreation to the etc/apps directory on the index cluster master node. The index cluster master node does not store or search data, it only manages the replication and availability of data across the index cluster peers. C is not a correct answer because you do not need to extract the installer package into etc/apps directory of the cluster deployer node. The cluster deployer node is used to distribute apps and configuration updates to the search head cluster members. You need to extract the installer package into etc/shcluster/apps directory of the cluster deployer node instead. D is not a correct answer because you do not need to extract the ITSI app package into etc/apps directory of search head. You need to extract the ITSI app package into etc/shcluster/apps directory of the cluster deployer node and use the deployer to push the app to all search head cluster members. Reference: [Install Splunk IT Service Intelligence on a search head cluster], [Install Splunk IT Service Intelligence on an indexer cluster]
NEW QUESTION # 62
Which scenario would benefit most by implementing ITSI?
- A. Monitoring of system process statuses
- B. Monitoring of retail sales metrics.
- C. Monitoring of system hardware.
- D. Monitoring of business services functionality.
Answer: D
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/AboutSI Splunk IT Service Intelligence (ITSI) is a monitoring and analytics solution that uses artificial intelligence and machine learning to provide insights into the health and performance of IT services. ITSI lets you create services that represent the critical components of your IT infrastructure, such as applications, databases, servers, networks, and so on. You can then monitor the status and performance of these services using key performance indicators (KPIs), which are metrics that measure aspects of service health, such as availability, latency, error rate, and so on. ITSI also provides tools for visualizing, investigating, and alerting on service issues, such as service analyzers, glass tables, deep dives, episode review, and so on. The scenario that would benefit most by implementing ITSI is monitoring of business service functionality, because ITSI enables you to measure and improve the quality and reliability of your IT services and align them with your business objectives. References: What is Splunk IT Service Intelligence?
NEW QUESTION # 63
Which of the following describes entities? (Choose all that apply.)
- A. To automatically restrict the KPI to only the entities in a particular service, select "Filter to Entities in Service".
- B. Entities must be IT devices, such as routers and switches, and must be identified by either IP value, host name, or mac address.
- C. 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. Multiple entities can share the same alias value, but must have different role values.
Answer: A,C
Explanation:
Reference: https://docs.splunk.com/Documentation/ITSI/4.10.2/SI/KPIfilter 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.
References: Overview of entity integrations in ITSI, [Create KPI base searches in ITSI]
NEW QUESTION # 64
Which anomaly detection algorithm fulfills the paired monitoring requirement?
- A. Detection algorithm: Trending anomaly detection
Monitoring requirement: Produce an alert when one entity in the KPI is not behaving similar to other entities in the KPI. - B. Detection algorithm: Entity cohesion anomaly detection
Monitoring requirement: Produce an alert when one entity in the KPI is not behaving similar to other entities in the KPI. - C. Detection algorithm: Trending anomaly detection
Monitoring requirement: Produce an alert when an entity deviates from its historical behavior. - D. Detection algorithm: Entity cohesion anomaly detection
Monitoring requirement: Produce an alert when multiple KPIs in the service deviate from their historical behaviors.
Answer: B
Explanation:
Splunk ITSI offers two built#in anomaly detection algorithms:TrendingandEntity Cohesion. TheTrending algorithm works on theaggregate KPI series, comparing recent KPI behavior with its historical pattern to detect unusual trending patterns over time. It doesnotevaluate behavior across separate entities within the KPI split - it simply looks at deviations from historical trends in the combined KPI values. On the other hand, the Entity Cohesionalgorithm is specifically designed to detect when entities that are expected to behave similarly begin to diverge in behavior. When a KPI is split by entity (for example, multiple servers, locations, or service tiers), Entity Cohesion normalizes each entity's time series and compares them against each other.
If one entity's pattern differs significantly from the group's patterns, it is flagged as an anomaly. This matches the "paired monitoring requirement" of producing an alert whenone entity in the KPI is not behaving similarly to the other entities. The option describing entity cohesion paired with that requirement reflects the correct use case for this algorithm in ITSI. Neither trending anomaly detection nor entity cohesion anomaly detection is intended to detect multiple KPIs deviating at the service level - such cross#KPI alerts are handled by other alerting constructs like multi#KPI alerts or correlation searches, not these specific anomaly algorithms.
NEW QUESTION # 65
Which of the following items apply to anomaly detection? (Choose all that apply.)
- A. A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis.
- B. There are 3 types of anomaly detection supported in ITSI: adhoc, trending, and cohesive.
- C. Use AD on KPIs that have an unestablished baseline of data points. This allows the ML pattern to perform it's magic.
- D. Anomaly detection automatically generates notable events when KPI data diverges from the pattern.
Answer: A,D
Explanation:
Reference:
Anomaly detection is a feature of ITSI that uses machine learning to detect when KPI data deviates from a normal pattern. The following items apply to anomaly detection:
B) A minimum of 24 hours of data is needed for anomaly detection, and a minimum of 4 entities for cohesive analysis. This ensures that there is enough data to establish a baseline pattern and compare different entities within a service.
C) Anomaly detection automatically generates notable events when KPI data diverges from the pattern. You can configure the sensitivity and severity of the anomaly detection alerts and assign them to episodes or teams. Reference: [Anomaly Detection]
NEW QUESTION # 66
What is the main purpose of the service analyzer?
- A. Allow Analysts to add comments to Alerts.
- B. Monitor overall Service and KPI status.
- C. Trigger external alerts based on threshold violations.
- D. Display a list of All Services and Entities.
Answer: A
NEW QUESTION # 67
Which of the following best describes an ITSI Glass Table?
- A. A view which displays a system topology overlaid with KPI metrics.
- B. A view which describes a topology.
- C. A view showing KPI values in a variety of visual styles.
- D. A dashboard which displays a system topology.
Answer: A
Explanation:
An ITSI Glass Table provides a customizable, high-level view that can display a system's topology overlaid with real-time Key Performance Indicator (KPI) metrics and service health scores. This visualization tool allows users to create a visual representation of their IT infrastructure, applications, and services, integrating live data to monitor the health and performance of each component in context. The ability to overlay KPI metrics on the system topology enables IT and business stakeholders to quickly understand the operational status and health of various elements within their environment, facilitating more informed decision-making and rapid response to issues.
NEW QUESTION # 68
Which of the following is a recommended best practice for ITSI installation?
- A. ITSI should not be installed on search heads that have Enterprise Security installed.
- B. Install ITSI on one search head in a search head cluster and migrate the configuration bundle to other search heads.
- C. Before installing ITSI, make sure the Common Information Model (CIM) is installed.
- D. Install the Machine Learning Toolkit app if anomaly detection must be configured.
Answer: A
Explanation:
One of the recommended best practices for Splunk IT Service Intelligence (ITSI) installation is to avoid installing ITSI on search heads that already have Splunk Enterprise Security (ES) installed. This recommendation stems from potential resource conflicts and performance issues that can arise when both resource-intensive applications are deployed on the same instance. Both ITSI and ES are complex applications that require significant system resources to function effectively, and running them concurrently on the same search head can lead to degraded performance, conflicts in resource allocation, and potential stability issues. It's generally advised to segregate these applications onto separate Splunk instances to ensure optimal performance and stability for both platforms.
NEW QUESTION # 69
Which of the following accurately describes base searches used for KPIs in a service?
- A. A base search can only be used by its service and all dependent services.
- B. All the KPIs in a service use the same base search.
- C. All the metrics in a base search are used by one service.
- D. Base searches can be used for multiple services.
Answer: D
Explanation:
Explanation
KPI base searches let you share a search definition across multiple KPIs in IT Service Intelligence (ITSI).
Create base searches to consolidate multiple similar KPIs, reduce search load, and improve search performance.
NEW QUESTION # 70
What is the default importance value for dependent services' health scores?
- A. Unassigned
- B. 0
- C. 1
- D. 2
Answer: D
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 # 71
Which scenario would benefit most by implementing ITSI?
- A. Monitoring of system process statuses
- B. Monitoring of retail sales metrics.
- C. Monitoring of system hardware.
- D. Monitoring of business services functionality.
Answer: D
NEW QUESTION # 72
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