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Splunk SPLK-2003 Exam Questions
- Topic 1: Deployment, Installation, and Initial Configuration: Splunk SOAR fundamentals are crucial for cybersecurity professionals preparing for the SPLK-2003 exam. This topic covers SOAR operation, installation, architecture, and configuration for effective implementation.
- Topic 2: User Management: User Management in the SPLK-2003 exam tests candidates on adding users, configuring authentication, and creating roles. SOC analysts and administrators who attempt the exam must manage user access and permissions.
- Topic 3: Apps, Assets, and Playbooks: Cybersecurity professionals should understand assets, configuring apps, and data ingestion for the SPLK-2003 exam. Proficiency in these areas enhances SOAR's automation and security tool integration.
- Topic 4: Analyst Queue: The Analyst Queue topic focuses on search features and filter creation. SOC analysts who attempt the Splunk SOAR Certified Automation Developer exam must prepare to manage and prioritize security events effectively within the SOAR platform.
- Topic 5: The Investigation Page: Candidates of the Splunk SPLK-2003 test are assessed on their investigation skills using SOAR's tools. This includes navigating the Investigation page, running actions and playbooks, and managing case files efficiently.
- Topic 6: Case Management and Workbooks: Case Management and Workbooks topic prepares Splunk analysts and administrators for managing complex security incidents using workbooks and marking evidence within the SOAR platform.
- Topic 7: Customizations: Candidates of the Splunk SOAR Certified Automation Developer test learn to tailor SOAR to meet organizational needs, covering customization of severity levels, CEF fields, and workbooks. This topic is essential for those aiming to take the SPLK-2003 exam.
- Topic 8: System Maintenance: The Splunk SPLK-2003 exam assesses candidates on their ability to monitor and maintain SOAR's performance. Understanding reports, system health, and logs is crucial for cybersecurity professionals to pass the test.
- Topic 9: Introduction to Playbooks: Sub-topics are about available app actions, automation best practices, I2A2 design methodology, and playbook capabilities. To pass the Splunk SPLK-2003 exam, applicant must get knowledge about these concepts to ensure success.
- Topic 10: Visual Playbook Editor: Sub-topics are about using the editor, executing actions from playbooks, and testing new playbooks. Cybersecurity professionals who attempt the Splunk SOAR Certified Automation Developer exam must learn how to create and modify automated workflows by using SOAR’s visual interface.
- Topic 11: Logic, Filters, and User Interaction: It focuses on usage of decision blocks, join options, filter blocks, and user interaction features. SOC analysts must get knowledge about interactive playbooks as well.
- Topic 12: Formatted Output and Data Access: Formatted Output and Data Access topic teaches structuring data, understanding action results, and composing datapaths. This knowledge enhances automation by manipulating and accessing data effectively.
- Topic 13: Modular Playbook Development: Designing modular solutions and invoking child playbooks for scalable and reusable components is the focus here. This enhances automation efficiency, a key skill for those aiming to take the SPLK-2003 exam.
- Topic 14: Custom Lists and Data Routing: Custom Lists and data routing are covered, including creating custom lists and using filters for data control. This topic ensures SOC analysts effectively manage custom data in SOAR.
- Topic 15: Configuring External Splunk Search: In this topic of the SPLK-2003 exam, cybersecurity professionals learn about using reindex and reporting features, configuring both SOAR and Splunk instances, and externalizing search to Splunk.
- Topic 16: Integrating SOAR into Splunk: You learn about installing and configuring necessary apps, using Splunk search from playbooks, and sending Enterprise Security notables to SOAR.
- Topic 17: Custom Coding: The primary focus of this topic is on writing custom SOAR code, using the global block, and custom function blocks.
- Topic 18: Using REST: Splunk Enterprise Security administrators and SOC analysts cover sub-topics related to accessing SOAR data from other systems, SOAR REST API capabilities, and Django queries.
Free Splunk SPLK-2003 Exam Actual Questions
Note: Premium Questions for SPLK-2003 were last updated On Apr. 07, 2026 (see below)
Two action blocks, geolocate_ip 1 and file_reputation_2, are connected to a decision block. Which of the following is a correct configuration for making a decision on the action results from one of the given blocks?
A.
B.
C.
D.
In the given decision block, you are trying to evaluate the results of two action blocks: geolocate_ip_1 and file_reputation_2. The correct configuration for making a decision based on the result of geolocate_ip_1 is by checking the country_iso_code field from the action result and setting the evaluation option to != (not equal), with no specific value provided in the 'Select Value' box. This essentially checks whether a valid country ISO code exists in the action result and proceeds if it's not empty or different from a specific value. This is a common check when working with geolocation results to see if a response has been returned.
Other options (B, C, and D) include response codes or list comparisons, which do not align with the decision structure mentioned, which needs to operate based on a country_iso_code field.
Splunk SOAR Playbook Development Guide.
Splunk SOAR Documentation on Decision Blocks and Action Result Evaluation.
When analyzing events, a working on a case, significant items can be marked as evidence. Where can ail of a case's evidence items be viewed together?
In Splunk SOAR, when working on a case and analyzing events, items marked as significant evidence are aggregated for review. These evidence items can be collectively viewed on the Investigation page under the Evidence tab. This centralized view allows analysts to easily access and review all marked evidence related to a case, facilitating a streamlined analysis process and ensuring that key information is readily available for investigation and decision-making.
A customer wants to design a modular and reusable set of playbooks that all communicate with each other. Which of the following is a best practice for data sharing across playbooks?
The correct answer is C because creating artifacts using one playbook and collecting those artifacts in another playbook is a best practice for data sharing across playbooks. Artifacts are data objects that are associated with a container and can be used to store information such as IP addresses, URLs, file hashes, etc. Artifacts can be created using theadd artifactaction in any playbook block and can be collected using theget artifactsaction in thefilterblock. Artifacts can also be used to trigger active playbooks based on their label or type. SeeSplunk SOAR Documentationfor more details.
In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is to create artifacts in one playbook and use another playbook to collect and utilize those artifacts. Artifacts in Splunk SOAR are structured data related to security incidents (containers) that playbooks can act upon. By creating artifacts in one playbook, you can effectively pass data and context to subsequent playbooks, allowing for modular, reusable, and interconnected playbook designs. This approach promotes efficiency, reduces redundancy, and enhances the playbook's ability to handle complex workflows.
How can an individual asset action be manually started?
An individual asset action can be manually started with the > action button in the Investigation page. This allows the user to select an asset and an action to perform on it. The other options are not valid ways to start an asset action manually. SeePerforming asset actionsfor more information. Individual asset actions in Splunk SOAR can be manually initiated from the Investigation page of a container. The '> action' button on this page allows users to execute specific actions associated with assets directly, enabling on-the-fly operations on artifacts or indicators within a container. This feature is particularly useful for ad-hoc analysis and actions, allowing analysts to respond to or investigate specific aspects of an incident without the need for a full playbook.
Configuring SOAR search to use an external Splunk server provides which of the following benefits?
Configuring SOAR search to use an external Splunk server allows for the automation of Splunk searches within SOAR. This integration enables Splunk SOAR to leverage the powerful search capabilities of an external Splunk Cloud Platform or Enterprise instance, thereby enhancing the ability to search for Splunk SOAR data using Splunk's search language (SPL).It also facilitates the use of universal forwarders to send SOAR data to your Splunk deployment12.While the other options may be benefits of using Splunk in general, the specific advantage of configuring SOAR search with an external Splunk server is the automation of searches, which can streamline the process of querying and analyzing SOAR data within the Splunk environment12.
Splunk SOAR documentation on configuring search in Splunk SOAR1.
Splunk SOAR documentation on understanding the remote-search service in Splunk App for SOAR2
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