SPLK-3001 Splunk Enterprise Security Certified Admin Exam Free Practice Exam Questions (2025 Updated)

The argument to the | tstats command that restricts the search to summarized data only is summariesonly=t. Summarized data is the data that is generated by the data model acceleration process, which creates summary indexes (TSIDX files) for the data models. By using summariesonly=t, the tstats command will only search the summary indexes, which can improve the performance and efficiency of the search. However, this also means that the search will not return any events that are not covered by the data model acceleration, such as events outside the acceleration time range or events that do not match the data model constraints12. References = 1: tstats - Splunk Documentation - summariesonly. 2: Managing data models in Enterprise Security - Splunk Lantern - Indexes allow list.

Fun (or Less Agony) with Splunk Tstats | Deductiv

The priority column in the asset or identity list is combined with the event severity to make a notable event’s urgency in Splunk Enterprise Security. The urgency is a measure of how important it is to address a notable event, and it is calculated based on a matrix that maps the priority of the asset or identity involved in the event and the severity of the event. The urgency can be one of the following values: low, medium, high, or critical12. For example, by default, medium, high, and critical priority, combined with critical severity, will generate a critical urgency ranking3. References = 1: Incident Review - Splunk Documentation - Urgency. 2: Configure notable event urgency - Splunk Documentation. 3: Solved: Splunk Enterprise Security: Is there a way to forc… - Splunk Community.

 According to the Splunk Enterprise Security documentation, the recommended way to install ES is on a server with a new install of Splunk. This is because ES requires a dedicated search head that is not shared with other apps or users. Installing ES on a server with a new install of Splunk ensures that there are no conflicts or performance issues with other apps or configurations. If you want to install ES on an existing search head, you need to follow some additional steps, such as redirecting distributed search connections, purging KV Store, and backing up existing data. See Install Splunk Enterprise Security for more details. Therefore, the correct answer is C. On a server with a new install of Splunk. References = Install Splunk Enterprise Security.

Glass tables can display static images and text, the results of ad-hoc searches, and security metrics. Security metrics are visualizations that show the values of KPIs, service health scores, or notable events. You can add security metrics to a glass table by using the Security Metrics menu in the glass table editor. You can also configure the appearance, behavior, and drilldown options of the security metrics. Glass tables cannot display lookup searches, summarized data, or metrics store searches directly, although you can use these types of searches as data sources for ad-hoc searches and then display the results on a glass table. References =

Add security metrics to a glass table in Splunk Enterprise Security

Create and manage glass tables in Splunk Enterprise Security

 According to the Splunk Enterprise Security documentation, the Default Account Activity Detected correlation search uses the Local User Intel lookup table to flag known default accounts. The Local User Intel lookup table contains a list of default usernames and passwords for various systems and applications, such as admin, root, guest, and others. The correlation search compares the authentication events from the Authentication data model with the usernames in the lookup table and generates a notable event if there is a match. The notable event indicates that a default account was used to access a system or application, which could be a sign of a brute force attack or a misconfiguration. Therefore, the correct answer is B. Local User Intel. References =

Default Account Activity Detected

Local User Intel

 The point in the ES installation process when Splunk_TA_ForIndexes.spl should be deployed to the indexers is after installing ES on the search head(s) and running the distributed configuration management tool. Splunk_TA_ForIndexes.spl is a Splunk add-on that contains the index-time configurations for the data models used by ES. It is required to be installed on all indexers that receive data from ES data sources, such as network devices, endpoints, threat intelligence feeds, and so on. The recommended way to deploy Splunk_TA_ForIndexes.spl to the indexers is to use the distributed configuration management tool in ES, which is a feature that allows you to automatically distribute configuration files, such as indexes.conf, props.conf, and transforms.conf, to your Splunk platform instances. To use the distributed configuration management tool, you need to first install ES on the search head(s) and then run the tool from the ES menu bar. The tool will prompt you to select the configuration files that you want to deploy, including Splunk_TA_ForIndexes.spl, and the instances that you want to deploy them to, such as indexers, forwarders, or other search heads. The tool will also validate the configuration files and restart the instances as needed12. References = 1: Distributed Configuration Management - Splunk Documentation - Auto Deployment. 2: Install Splunk Enterprise Security - Splunk Documentation - Install the Splunk Add-on for Indexes.

If the number of failed logins is greater than or equal to the threshold value, the search triggers a notable event. To make the search less sensitive, the threshold value can be increased, so that only more frequent failed logins will trigger a notable event. For example, the default threshold value is 4, which means that 4 or more failed logins within a 1-minute window will trigger a notable event. If the threshold value is changed to 10, then only 10 or more failed logins within a 1-minute window will trigger a notable event. References =

Splunk Enterprise Security Admin Manual

Detecting brute force access behavior

After data is ingested, the data management step that is essential to ensure raw data can be accelerated by a data model and used by ES is normalization to the Splunk Common Information Model (CIM). The CIM is a standard and consistent way of naming and structuring the fields and tags for different types of data, such as network, web, email, authentication, and malware. The CIM allows you to use the same search queries and dashboards across different data sources, even if they have different formats or schemas. Normalizing data to the CIM involves mapping the raw data fields and tags to the CIM fields and tags using technology add-ons. Technology add-ons are Splunk apps that provide the necessary configurations and extractions for specific data sources. By normalizing data to the CIM, you can enable data model acceleration for the data models that use the CIM fields and tags. Data model acceleration is a feature that speeds up searches and reports that use data models by pre-computing and storing the results of the data model queries. Data model acceleration is required for most of the dashboards and correlation searches in Splunk Enterprise Security. References =

Data models in the Splunk Common Information Model

Data model acceleration

A correlation search is a scheduled search that runs periodically to detect patterns of interest in the data and generate notable events or other actions when the search conditions are met. A correlation search can generate false positives, which are notable events that do not represent a real security incident or threat. False positives can create noise and reduce the efficiency and accuracy of the security analysis. To reduce false positives from a correlation search, you can modify the correlation schedule and sensitivity for your site. The correlation schedule determines how often the correlation search runs and over what time range. The sensitivity determines the threshold or limit for the search conditions to trigger a notable event. By adjusting the correlation schedule and sensitivity, you can fine-tune the correlation search to match your environment and data sources, and avoid generating notable events for normal or benign activities. You can modify the correlation schedule and sensitivity for a correlation search using the Content Management page in Splunk Enterprise Security. References =

Modify the correlation schedule and sensitivity for your site

Correlation search overview for Splunk Enterprise Security

Dealing with Security False Positives in Splunk (Enterprise Security ...2

Upping the Auditing Game for Correlation Searches Within ... - Splunk

 Adaptive response action history is stored in the cim_modactions index. This index contains the events generated by the adaptive response actions that are triggered by correlation searches or run manually from Incident Review. You can use this index to search, audit, and report on the adaptive response actions that have been executed in your environment. You can also view the adaptive response action history on the Adaptive Response dashboard in Enterprise Security1. References =

Adaptive Response dashboard - Splunk Documentation

The Add-On Builder is available from SplunkBase, which is the official source of apps and add-ons for the Splunk platform. SplunkBase allows you to browse, download, and install apps and add-ons that are compatible with your Splunk deployment. You can also upload and share your own apps and add-ons with the Splunk community. The Add-On Builder is a Splunk app that helps you build and validate technology add-ons for your Splunk Enterprise deployment. Technology add-ons are specialized add-ons that help to collect, transform, and normalize data feeds from specific sources in your environment. The Add-On Builder guides you through the process of creating an add-on, following best practices and naming conventions, maintaining CIM compliance, and testing and validating the add-on1. The Add-On Builder is not available from GitHub, www.splunk.com, or the ES installation package. References =

Splunk Add-on Builder | Splunkbase

Splunk Add-on Builder | Splunkbase

 According to the Splunk Enterprise Security documentation, one of the benefits of data normalization is that searches can be built no matter the specific source technology for a normalized data type. Data normalization is a way to ingest and store data in the Splunk platform using a common format for consistency and efficiency. When data is normalized, it follows the same field names and event tags for equivalent events from different sources or vendors. This allows you to perform cross-source analysis and correlation of security events without worrying about the differences in data formats. For example, if you have data from Windows, Linux, and Mac OS systems, you can normalize them using the Endpoint data model and use the same fields, such as , , and , to search for endpoint events across all systems. Therefore, the correct answer is C. Searches can be built no matter the specific source technology for a normalized data type. References =

Data sources and normalization

Splunk Common Information Model Add-on

Onboarding data to Splunk Enterprise Security

A field alias is a knowledge object that maps a non-standard field name to a CIM field name. A field alias allows you to use the same search string to retrieve data from different data sources, even if the data sources use different field names for the same type of data. For example, if you have data sources that use different field names for the source IP address, such as src_ip, source_ip, or sip, you can create a field alias that maps these field names to the CIM field name src. This way, you can use src as a common field name in your searches and reports, and Splunk will automatically replace it with the appropriate field name for each data source. Field aliases are applied at search time, so they do not affect the original data or the index time field extractions. References =

Normalizing values to a common field name with the Common Information Model (CIM)

Field aliases

Onboarding data to Splunk Enterprise Security

 According to the Splunk Enterprise Security documentation, the Status Configuration window allows you to customize the status values and transitions for notable events. You can define which roles can change the status of a notable event from one value to another, and which roles can view the notable events with a specific status. To restrict the users with the ess_user role from being able to change the status of Resolved notable events to closed, you need to do the following steps:

On the Enterprise Security menu bar, select Configure > Incident Management > Status Configuration.

In the Status Configuration window, select the Resolved status from the list of values.

In the Status Transitions section, find the row for the closed status and click the Edit icon.

In the Edit Status Transition dialog box, remove the ess_user role from the Roles field and click Save.

Click Save Changes to apply the changes to the Status Configuration window.

This will prevent the users with the ess_user role from changing the status of any notable event from Resolved to closed. They will still be able to change the status of other notable events to closed, if they have the permission to do so. Therefore, the correct answer is A. From the Status Configuration window select the Resolved status. Remove ess_user from the status transitions for the closed status. References = Customize status values and transitions for notable events.

 The urgency of a notable event is a value that indicates how important or urgent the event is for investigation and response. The urgency of a notable event is determined by two fields: the priority and the severity. The priority is a value that is assigned to an asset or an identity based on how critical or valuable it is for the organization. The priority can be unknown, low, medium, high, or critical. The severity is a value that is assigned to a notable event based on how serious or harmful the event is for the security posture. The severity can be unknown, informational, low, medium, high, or critical. The urgency of a notable event is calculated by combining the priority and the severity values using a lookup table called urgency_lookup. The urgency can be informational, low, medium, high, or critical. You can use the urgency field to prioritize the investigation of notable events in Splunk Enterprise Security. References =

How urgency is assigned to notable events in Splunk Enterprise Security

Priority and severity in Splunk Enterprise Security

The setting that is used in indexes.conf to specify alternate locations for accelerated storage is tstatsHomePath. Accelerated storage is the location where Splunk Enterprise stores the summary data for accelerated data models and reports. By default, acceleration storage is allocated in the same location as the index containing the raw events being accelerated. However, if you need to specify alternate locations for your accelerated storage, you can use the tstatsHomePath setting in indexes.conf. This setting allows you to define a different path for the summary data, which can improve the performance and efficiency of the data model acceleration. For example, you can set the tstatsHomePath to a faster disk or a different volume than the index homePath12. References = 1: Managing data models in Enterprise Security - Splunk Lantern - Indexes allow list. 2: indexes.conf - Splunk Documentation - tstatsHomePath.

 The main purpose of the Dashboard Requirements Matrix document is to identify on which data model(s) each dashboard in Splunk Enterprise Security depends. The Dashboard Requirements Matrix document is a web page that lists all the dashboards in Splunk Enterprise Security and the data model datasets that populate them. The data model datasets are linked to the Common Information Model (CIM) documentation, which describes the tags, field names, and field values that the events must use to be CIM-compliant. The Dashboard Requirements Matrix document helps you to determine which data models you need to enable and accelerate for your Splunk Enterprise Security deployment, and which data sources you need to map to the data models using the technology add-ons. References =

Dashboard requirements matrix for Splunk Enterprise Security

Data models in the Splunk Common Information Model

The Splunk Add-on Builder helps you create technology add-ons, which are specialized add-ons that help to collect, transform, and normalize data feeds from specific sources in your environment. Technology add-ons are often referred to as TAs, and they start with the prefix TA-12. References = 1: Splunk Add-on Builder User Guide - About the Splunk Add-on Builder 2: Splunk Developer Portal - Develop Splunk Apps

 Notable event urgency is calculated by combining the severity set by the correlation search and the priority assigned to the associated asset or identity. The severity is a value that indicates the impact or importance of the event, such as low, medium, high, or critical. The priority is a value that indicates the significance or sensitivity of the asset or identity involved in the event, such as unknown, low, medium, high, or critical. The urgency is a value that indicates the level of attention or action required for the event, such as informational, low, medium, high, or critical. The urgency is determined by using the urgency_lookup, which maps the severity and priority values to the urgency values. For example, if the severity is high and the priority is medium, the urgency is high. If the severity is critical and the priority is critical, the urgency is critical. You can use the urgency field to prioritize the investigation of notable events in Splunk Enterprise Security1. References =

How urgency is assigned to notable events in Splunk Enterprise Security