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Becoming a Splunk IT Service Intelligence Certified Admin through passing the SPLK-3002 exam demonstrates a high level of expertise and proficiency in using Splunk ITSI to monitor and analyze IT services and infrastructure. Splunk IT Service Intelligence Certified Admin certification is recognized and valued by IT organizations, as it validates the skills required to manage and troubleshoot complex IT environments effectively. Splunk IT Service Intelligence Certified Admin certification also provides an opportunity for IT professionals to advance their career and increase their earning potential.
Splunk SPLK-3002 certification exam is designed to test the skills and knowledge of IT professionals who want to demonstrate their expertise in using Splunk IT Service Intelligence (ITSI) to monitor, analyze, and troubleshoot complex IT environments. Splunk IT Service Intelligence Certified Admin certification is ideal for IT administrators, analysts, and engineers who use Splunk ITSI to gain insights into the performance, availability, and security of their IT infrastructure.
NEW QUESTION # 43
Which deep dive swim lane type does not require writing SPL?
- A. Automatic lane.
- B. Event lane.
- C. KPI lane.
- D. Metric lane.
Answer: C
Explanation:
A KPI lane is a type of deep dive swim lane that does not require writing SPL. You can simply select a service and a KPI from a drop-down list and ITSI will automatically populate the lane with the corresponding data. You can also adjust the threshold settings and time range for the KPI lane. Reference: [KPI Lanes]
NEW QUESTION # 44
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
- A. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
- B. Plan to build as many data models as possible for ITSI to leverage
- C. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
- D. Use | stats functions in custom fields to prepare the data for KPI calculations.
Answer: A
NEW QUESTION # 45
Which of the following statements is accurate when using multiple policies?
- A. New policies are applied after the default policy.
- B. Policy processing is applied in a defined order.
- C. An event can be processed by only a single policy.
- D. New policies are applied before the default policy.
Answer: B
Explanation:
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.
NEW QUESTION # 46
Anomaly detection can be enabled on which one of the following?
- A. Multi-KPI alert
- B. Entity
- C. Service
- D. KPI
Answer: D
Explanation:
A is the correct answer because anomaly detection can be enabled on a KPI level in ITSI. Anomaly detection allows you to identify trends and outliers in KPI search results that might indicate an issue with your system. You can enable anomaly detection for a KPI by selecting one of the two anomaly detection algorithms in the KPI configuration panel. Reference: Apply anomaly detection to a KPI in ITSI
NEW QUESTION # 47
There are two departments using ITSI. Finance and Sales. Analysts in each department should not be allowed to see each other's services. What are the role configuration steps required to accomplish this?
- A. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_team_analyst; itoa_sales_analyst, inherited from itoa_team_analyst.
- B. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_analyst.
- C. itoa_finance_admin, inherited from itoa_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_team_analyst.
- D. itoa_finance_admin, inherited from itoa_team_admin; itoa_sales_admin, inherited from itoa_team_admin; itoa_finance_analyst, inherited from itoa_analyst; itoa_sales_analyst, inherited from itoa_analyst.
Answer: C
Explanation:
C is the correct answer because teams are a feature of ITSI that allow you to restrict access to service content in UI views based on user roles. To create separate teams for finance and sales analysts, you need to create custom roles that inherit from the itoa_analyst role, which has read-only access to ITSI content. For example, you can create itoa_finance_analyst and itoa_sales_analyst roles that inherit from itoa_analyst. Then, you need to create custom teams that include these roles and assign them to the relevant services. For example, you can create a finance team that includes the itoa_finance_analyst role and assign it to the finance services. Similarly, you can create a sales team that includes the itoa_sales_analyst role and assign it to the sales services. This way, analysts in each department can only see their own services and not each other's. Reference: Create teams in ITSI, Assign teams to services in ITSI
NEW QUESTION # 48
Which of the following best describes an ITSI Glass Table?
- A. A view which displays a system topology overlaid with KPI metrics.
- B. A dashboard which displays a system topology.
- C. A view which describes a topology.
- D. A view showing KPI values in a variety of visual styles.
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 # 49
How can admins manually control groupings of notable events?
- A. Correlation searches.
- B. Aggregation policies.
- C. notable_event_grouping.conf
- D. Multi-KPI alerts.
Answer: B
Explanation:
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.
NEW QUESTION # 50
Which of the following is a characteristic of base searches?
- A. The fewer KPIs that share a common base search, the more efficiency a base search provides, and anomaly detection is more efficient.
- B. The base search will execute whether or not a KPI needs it.
- C. Search expression, entity splitting rules, and thresholds are configured at the base search level.
- D. It is possible to filter to entities assigned to the service for calculating the metrics for the service's KPIs.
Answer: D
Explanation:
Reference:
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]
NEW QUESTION # 51
Which of the following is a characteristic of custom deep dives?
- A. Combines metric, event, KPI, and service health score lanes.
- B. Allows itoa_analyst roles to add comments.
- C. Requires at least 7 days' data to show anomalies.
- D. Uses drilldown to generate notable events via anomaly detection.
Answer: A
Explanation:
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.
NEW QUESTION # 52
Which of the following is a recommended best practice for service and glass table design?
- A. Plan and implement services first, then build detailed glass tables.
- B. Design glass tables first to discover which KPIs are important.
- C. Start with base searches, then services, and then glass tables.
- D. Always use the standard icons for glass table widgets to improve portability.
Answer: B
NEW QUESTION # 53
Which index will contain useful error messages when troubleshooting ITSI issues?
- A. _internal
- B. itsi_summary
- C. itsi_notable_audit
- D. _introspection
Answer: A
NEW QUESTION # 54
Which of the following items describe ITSI Deep Dive capabilities? (Choose all that apply.)
- A. Comparing a service's notable events over a time period.
- B. Comparing swim lane values for a slice of time.
- C. Visualizing one or more Service KPIs values by time.
- D. Examining and comparing alert levels for KPIs in a service over time.
Answer: B,C,D
Explanation:
Reference:
A deep dive is a dashboard that allows you to analyze the historical trends and anomalies of your KPIs and metrics in ITSI. A deep dive displays a timeline of events and swim lanes of data that you can customize and filter to investigate issues and perform root cause analysis. Some of the capabilities of deep dives are:
B) Visualizing one or more service KPIs values by time. This is true because you can add KPI swim lanes to a deep dive to show the values and severity levels of one or more KPIs over time. You can also compare KPIs from different services or entities using service swapping or entity splitting.
C) Examining and comparing alert levels for KPIs in a service over time. This is true because you can add alert swim lanes to a deep dive to show the alert levels and counts for one or more KPIs over time. You can also drill down into the alert details and view the notable events associated with each alert.
D) Comparing swim lane values for a slice of time. This is true because you can use the time range selector to zoom in or out of a specific time range in a deep dive. You can also use the time brush to select a slice of time and compare the swim lane values for that time period.
The other option is not a capability of deep dives because:
A) Comparing a service's notable events over a time period. This is not true because deep dives do not display notable events, which are alerts generated by ITSI based on certain conditions or correlations. Notable events are displayed in other dashboards, such as episode review or glass tables.
NEW QUESTION # 55
Which of the following is a valid type of Multi-KPI Alert?
- A. Value over time.
- B. Score over composite.
- C. Rise over run.
- D. Status over time.
Answer: D
NEW QUESTION # 56
Which of the following is the best use case for configuring a Multi-KPI Alert?
- A. Raising an alert when one or more KPIs indicate an outage is occurring.
- B. Using machine learning to evaluate when data falls outside of an expected pattern.
- C. Comparing content between two notable events.
- D. Comparing anomaly detection between two KPIs.
Answer: A
Explanation:
Reference:
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
NEW QUESTION # 57
Which step is required to install ITSI on a single Search Head?
- A. Use the Splunk -> Manage Apps Dashboard to download and install.
- B. All of the above.
- C. Untar the ITSI package in <splunk home>/etc/apps
- D. Run splunk_apply shcluster-bundle
Answer: A
Explanation:
To install Splunk IT Service Intelligence (ITSI) on a single Search Head, one of the straightforward methods is to use the Splunk Web interface, specifically the "Manage Apps" dashboard, to download and install ITSI. This method is user-friendly and does not require manual file handling or command-line operations. By navigating to "Manage Apps" in the Splunk Web interface, users can find ITSI in the app repository or upload the ITSI installation package if it has been downloaded previously. From there, the installation process is initiated through the Splunk Web interface, simplifying the setup process. This approach ensures that the installation follows Splunk's standard app installation procedures, helping to avoid common installation errors and ensuring that ITSI is correctly integrated into the Splunk environment.
NEW QUESTION # 58
In which index are active notable events stored?
- A. itsi_tracked_alerts
- B. itsi_notable_audit
- C. itsi_notable_archive
- D. itsi_tracked_groups
Answer: A
Explanation:
In Splunk IT Service Intelligence (ITSI), notable events are created and managed within the context of its Event Analytics framework. These notable events are stored in the itsi_tracked_alerts index. This index is specifically designed to hold the active notable events that are generated by ITSI's correlation searches, which are based on the conditions defined for various services and their KPIs. Notable events are essentially alerts or issues that need to be investigated and resolved. The itsi_tracked_alerts index enables efficient storage, querying, and management of these events, facilitating the ITSI's event management and review process. The other options, such as itsi_notable_archive and itsi_notable_audit, serve different purposes, such as archiving resolved notable events and auditing changes to notable event configurations, respectively. Therefore, the correct answer for where active notable events are stored is the itsi_tracked_alerts index.
NEW QUESTION # 59
Which of the following describes a realistic troubleshooting workflow in ITSI?
- A. Correlation search -> KPI -> Aggregation Policy
- B. Service Analyzer -> Aggregation Policy -> Deep Dive
- C. Correlation Search -> Deep Dive -> Notable Event
- D. Service Analyzer -> Notable Event Review -> Deep Dive
Answer: C
NEW QUESTION # 60
Which index contains ITSI Episodes?
- A. itsi_grouped_alerts
- B. itsi_summary
- C. itsi_notable_archive
- D. itsi_tracked_alerts
Answer: A
Explanation:
Reference:
B is the correct answer because ITSI episodes are stored in the itsi_grouped_alerts index. This index contains notable events that have been grouped together based on predefined aggregation policies. Episodes help you reduce alert noise and focus on resolving incidents faster. Reference: [Overview of episodes in ITSI]
NEW QUESTION # 61
Which of the following can generate notable events?
- A. Through scheduled correlation searches which link to their respective services.
- B. When two entity aliases have a matching value.
- C. Through ad-hoc search results which get processed by adaptive thresholds.
- D. Manually selected using the Notable Event Review panel.
Answer: A
Explanation:
Notable events in Splunk IT Service Intelligence (ITSI) are primarily generated through scheduled correlation searches. These searches are designed to monitor data for specific conditions or patterns defined by the ITSI administrator, and when these conditions are met, a notable event is created. These correlation searches are often linked to specific services or groups of services, allowing for targeted monitoring and alerting based on the operational needs of those services. This mechanism enables ITSI to provide timely and relevant alerts that can be further investigated and managed through the Episode Review dashboard, facilitating efficient incident response and management within the IT environment.
NEW QUESTION # 62
Besides creating notable events, what are the default alert actions a correlation search can execute? (Choose all that apply.)
- A. Ping a host.
- B. Send email.
- C. Run a script.
- D. Include in RSS feed.
Answer: B,C,D
Explanation:
Explanation
Throttling applies to any correlation search alert type, including notable events and actions (RSS feed, email, run script, and ticketing).
NEW QUESTION # 63
What should be considered when onboarding data into a Splunk index, assuming that ITSI will need to use this data?
- A. Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data.
- B. Plan to build as many data models as possible for ITSI to leverage
- C. Make sure that all fields conform to CIM, then use the corresponding module to import related services.
- D. Use | stats functions in custom fields to prepare the data for KPI calculations.
Answer: A
Explanation:
Reference:
When onboarding data into a Splunk index, assuming that ITSI will need to use this data, you should consider the following:
B) Check if the data could leverage pre-built KPIs from modules, then use the correct TA to onboard the data. This is true because modules are pre-packaged sets of services, KPIs, and dashboards that are designed for specific types of data sources, such as operating systems, databases, web servers, and so on. Modules help you quickly set up and monitor your IT services using best practices and industry standards. To use modules, you need to install and configure the correct technical add-ons (TAs) that extract and normalize the data fields required by the modules.
The other options are not things you should consider because:
A) Use | stats functions in custom fields to prepare the data for KPI calculations. This is not true because using | stats functions in custom fields can cause performance issues and inaccurate results when calculating KPIs. You should use | stats functions only in base searches or ad hoc searches, not in custom fields.
C) Make sure that all fields conform to CIM, then use the corresponding module to import related services. This is not true because not all modules require CIM-compliant data sources. Some modules have their own data models and field extractions that are specific to their data sources. You should check the documentation of each module to see what data requirements and dependencies they have.
D) Plan to build as many data models as possible for ITSI to leverage. This is not true because building too many data models can cause performance issues and resource consumption in your Splunk environment. You should only build data models that are necessary and relevant for your ITSI use cases.
NEW QUESTION # 64
For which ITSI function is it a best practice to use a 15-30 minute time buffer?
- A. Adaptive thresholding.
- B. Correlation searches.
- C. Maintenance windows
- D. Anomaly detection.
Answer: A
Explanation:
B is the correct answer because adaptive thresholding is a feature of ITSI that allows you to dynamically adjust KPI thresholds based on historical patterns and trends. Adaptive thresholding requires a time buffer of at least 15 minutes to calculate the thresholds based on the previous data points. The time buffer ensures that there is enough data to perform the calculations and avoid false positives or negatives. Reference: Configure adaptive thresholding for a KPI in ITSI
NEW QUESTION # 65
Where are KPI search results stored?
- A. The itsi_summary index.
- B. Output to a CSV lookup.
- C. KV Store.
- D. The default index.
Answer: A
Explanation:
Search results are processed, created, and written to the itsi_summary index via an alert action.
Reference:
D is the correct answer because KPI search results are stored in the itsi_summary index in ITSI. This index is an events index that stores the results of scheduled KPI searches. Summary indexing lets you run fast searches over large data sets by spreading out the cost of a computationally expensive report over time. Reference: Overview of ITSI indexes
NEW QUESTION # 66
When creating a custom deep dive, what color are services/KPIs in maintenance mode within the topology view?
- A. Gear Icon
- B. Gray
- C. Purple
- D. Blue
Answer: B
Explanation:
When creating a custom deep dive, services or KPIs that are in maintenance mode are shown in gray color in the topology view. This indicates that they are not actively monitored and do not generate alerts or notable events. Reference: Deep Dives
NEW QUESTION # 67
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