SPLK-2003 Exam Dumps

107 Questions


Last Updated On : 24-Feb-2025



Turn your preparation into perfection. Our Splunk SPLK-2003 exam dumps are the key to unlocking your exam success. SPLK-2003 practice test helps you understand the structure and question types of the actual exam. This reduces surprises on exam day and boosts your confidence.

Passing is no accident. With our expertly crafted Splunk SPLK-2003 exam questions, you’ll be fully prepared to succeed.

Which of the following is the best option for an analyst who wants to run a single action on an event?


A. Open the event and run this single action from the Investigation View.


B. Create a playbook with a single action then use the Playbook Debugger on the event ID.


C. Create a playbook with the action and run it from the Investigation View.


D. Open a playbook with a single action, mark it active, and then use the Playbook Debugger on the event ID.





A.
  Open the event and run this single action from the Investigation View.

Explanation:
The best option for an analyst who wants to run a single action on an event is to open the event and run the action directly from the Investigation View. The Investigation View allows users to interact with events directly, and provides the ability to execute specific actions without the need for playbook development or debugging. This is the most straightforward and efficient way to execute a single action on an event, without the overhead of creating or editing playbooks.
While creating a playbook and using the Playbook Debugger are viable options, they introduce unnecessary complexity for running just one action. The goal is to allow the analyst to act quickly and efficiently within the Investigation View.

Which of the following are the steps required to complete a full backup of a Splunk Phantom deployment' Assume the commands are executed from /opt/phantom/bin and that no other backups have been made.


A. On the command line enter: rode sudo python ibackup.pyc --setup, then audo phenv python ibackup.pyc --backup.


B. On the command line enter: sudo phenv python ibackup.pyc --backup —backup-type full, then sudo phenv python ibackup.pyc --setup.


C. Within the UI: Select from the main menu Administration > System Health > Backup.


D. Within the UI: Select from the main menu Administration > Product Settings > Backup.





B.
  On the command line enter: sudo phenv python ibackup.pyc --backup —backup-type full, then sudo phenv python ibackup.pyc --setup.

Explanation: The correct answer is B because the steps required to complete a full backup of a Splunk Phantom deployment are to first run the --backup --backup-type full command and then run the --setup command. The --backup command creates a backup file in the /opt/phantom/backup directory. The --backup-type full option specifies that the backup file includes all the data and configuration files of the Phantom server. The --setup command creates a configuration file that contains the encryption key and other information needed to restore the backup file. See Splunk SOAR Certified Automation Developer Track for more details.
Performing a full backup of a Splunk Phantom deployment involves using the commandline interface, primarily because Phantom's architecture and data management processes are designed to be managed at the server level for comprehensive backup and recovery. The correct sequence involves initiating a full backup first using the --backup --backuptype full option to ensure all configurations, data, and necessary components are included in the backup. Following the completion of the backup, the --setup option might be used to configure or verify the backup settings, although typically, the setup would precede backup operations in practical scenarios. This process ensures that all aspects of the Phantom deployment are preserved, including configurations, playbooks, cases, and other data, which is crucial for disaster recovery and system migration.

What are the components of the I2A2 design methodology?


A. Inputs, Interactions, Actions, Apps


B. Inputs, Interactions, Actions, Artifacts


C. Inputs, Interactions, Apps, Artifacts


D. Inputs, Interactions, Actions, Assets





B.
  Inputs, Interactions, Actions, Artifacts


Explanation:

I2A2 design methodology is a framework for designing playbooks that consists of four components: 

•Inputs: The data that is required for the playbook to run, such as artifacts, parameters, or custom fields. •Interactions: The blocks that allow the playbook to communicate with users or other systems, such as prompts, comments, or emails. •Actions: The blocks that execute the core logic of the playbook, such as app actions, filters, decisions, or utilities. •Artifacts: The data that is generated or modified by the playbook, such as new artifacts, container fields, or notes. The I2A2 design methodology helps you to plan, structure, and test your playbooks in a modular and efficient way. Therefore, option B is the correct answer, as it lists the correct components of the I2A2 design methodology. Option A is incorrect, because apps are not a component of the I2A2 design methodology, but a source of actions that can be used in the playbook. Option C is incorrect, for the same reason as option A. Option D is incorrect, because assets are not a component of the I2A2 design methodology, but a configuration of app credentials that can be used in the playbook. 1: Use a playbook design methodology in Administer Splunk SOAR (Cloud) The I2A2 design methodology is an approach used in Splunk SOAR to structure and design playbooks. The acronym stands for Inputs, Interactions, Actions, and Artifacts. This methodology guides the creation of playbooks by focusing on these four key components, ensuring that all necessary aspects of an automated response are considered and effectively implemented within the platform.

What do assets provide for app functionality?


A. Assets provide location, credentials, and other parameters needed to run actions.


B. Assets provide hostnames, passwords, and other artifacts needed to run actions.


C. Assets provide Python code, REST API, and other capabilities needed to run actions.


D. Assets provide firewall, network, and data sources needed to run actions.





A.
  Assets provide location, credentials, and other parameters needed to run actions.

Explanation: The correct answer is A because assets provide location, credentials, and other parameters needed to run actions. Assets are configurations that define how Phantom connects to external systems or devices, such as firewalls, endpoints, or threat intelligence sources. Assets specify the app, the IP address or hostname, the username and password, and any other settings required to run actions on the target system or device. The answer B is incorrect because assets do not provide hostnames, passwords, and other artifacts needed to run actions, which are data objects that can be created or retrieved by playbooks. The answer C is incorrect because assets do not provide Python code, REST API, and other capabilities needed to run actions, which are provided by apps. The answer D is incorrect because assets do not provide firewall, network, and data sources needed to run actions, which are external systems or devices that can be connected to by assets.

Which of the following is a reason to create a new role in SOAR?


A. To define a set of users who have access to a special label.


B. To define a set of users who have access to a restricted app.


C. To define a set of users who have access to an event's reports.


D. To define a set of users who have access to a sensitive tag.





B.
  To define a set of users who have access to a restricted app.

Explanation: In Splunk SOAR, roles serve multiple purposes, including granting users permission to access system functionality or restricting access to parts of the system1. Creating a new role is often necessary when there is a need to define a specific set of users who have access to a restricted app. This allows for granular control over who can interact with certain apps, ensuring that only authorized users can use them. While roles can also be used to manage access to labels, reports, and tags, the primary reason for creating a new role is typically related to controlling access to apps and their associated functionalities within the SOAR platform1.

Why does SOAR use wildcards within artifact data paths?


A. To make playbooks more specific.


B. To make playbooks filter out nulls.


C. To make data access in playbooks easier.


D. To make decision execution in playbooks run faster.





C.
  To make data access in playbooks easier.

Explanation: Wildcards are used within artifact data paths in Splunk SOAR playbooks to simplify the process of accessing data. They allow playbooks to reference dynamic or variable data structures without needing to specify exact paths, which can vary between artifacts. This flexibility makes it easier to write playbooks that work across different events and scenarios, without hard-coding data paths.
SOAR uses wildcards within artifact data paths to make data access in playbooks easier. A data path is a way of specifying the location of a piece of data within an artifact. For example, artifact.cef.sourceAddress is a data path that refers to the source address field of the artifact. A wildcard is a special character that can match any value or subfield within a data path. For example, artifact.*.cef.sourceAddress is a data path that uses a wildcard to match any field name before the cef subfield. This allows the playbook to access the source address data regardless of the field name, which can vary depending on the app or source that generated the artifact. Therefore, option C is the correct answer, as it explains why SOAR uses wildcards within artifact data paths. Option A is incorrect, because wildcards do not make playbooks more specific, but more flexible and adaptable. Option B is incorrect, because wildcards do not make playbooks filter out nulls, but match any value or subfield. Option D is incorrect, because wildcards do not make decision execution in playbooks run faster, but make data access in playbooks easier.


Page 2 out of 18 Pages
Previous