Free SPLK-2003 Exam Dumps Preview

Splunk SOAR supports multiple user authentication methods to ensure secure access to the platform.
Apart from LDAP (Lightweight Directory Access Protocol) and SAML2 (Security Assertion Markup Language 2.0), SOAR also supports PIV (Personal Identity Verification) and CAC (Common Access Card) as authentication methods. These are particularly used in government and military organizations for secure and authenticated access to systems, providing a high level of security through physical tokens or cards that contain encrypted user credentials.

Decision blocks are most useful when selecting one (or zero) possible paths in the playbook. Decision blocks allow the user to define one or more conditions based on action results, artifacts, or custom expressions, and execute the corresponding path if the condition is met. If none of the conditions are met, the playbook execution ends. Decision blocks are not used for processing different data in parallel, evaluating complex, multi-value results or artifacts, or modifying downstream data in one or more paths in the playbook. Decision blocks within Splunk Phantom playbooks are used to control the flow of execution based on certain criteria. They are most useful when you need to select one or potentially no paths for the playbook to follow, based on the evaluation of specified conditions. This is akin to an if-else or switch-case logic in programming where depending on the conditions met, a particular path is chosen for further actions. Decision blocks evaluate the data and direct the playbook to different paths accordingly, making them a fundamental component for creating dynamic and responsive automation workflows.

The primary objective of using the I2A2 playbook design methodology in Splunk SOAR is to create playbooks that are simple, reusable, and modular. This design philosophy emphasizes the creation of playbooks that can be easily understood and maintained, encourages the reuse of playbook components in different scenarios, and fosters the development of playbooks that can be modularly connected or used independently as needed.
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. The primary objective of using the I2A2 design methodology is to create simple, reusable, modular playbooks that can be easily maintained, shared, and customized. Therefore, option D is the correct answer, as it states the primary objective of using the I2A2 design methodology.
Option A is incorrect, because creating detailed playbooks is not the primary objective of using the I2A2 design methodology, but rather a possible outcome of following the framework.
Option B is incorrect, because creating playbooks that customers will not edit is not the primary objective of using the I2A2 design methodology, but rather a potential risk of not following the framework.
Option C is incorrect, because meeting customer requirements using a single playbook is not the primary objective of using the I2A2 design methodology, but rather a challenge that can be overcome by using the framework.
Use a playbook design methodology in Administer Splunk SOAR (Cloud).

Visual Playbook Editor is a feature of Splunk SOAR that allows you to create, edit, and implement automated playbooks using visual building blocks and execution flow lanes, without having to write code.
The Visual Playbook Editor automatically generates the code for you, which you can view and edit in the Code Editor if needed. The Visual Playbook Editor also supports Python and Javascript as scripting languages for custom code blocks. One of the advantages of using the Visual Playbook Editor is that it makes playbook maintenance easier, as you can quickly modify, test, and debug your playbooks using the graphical interface. Therefore, option D is the correct answer, as it states an advantage of using the Visual Playbook Editor.
Option A is incorrect, because using the Visual Playbook Editor does not eliminate the need to use Python code, but rather simplifies the process of creating and editing code. You can still add custom Python code to your playbooks using the custom function block or the Code Editor.
Option B is incorrect, because the Visual Playbook Editor is not the only way to generate user prompts, but rather one of the ways. You can also generate user prompts using the classic playbook editor or the Code Editor.
Option C is incorrect, because supporting Python or Javascript is not an advantage of using the Visual Playbook Editor, but rather a feature of Splunk SOAR in general. You can use Python or Javascript in any of the playbook editors, not just the Visual Playbook Editor. 1: Web search results from search_web(query="Splunk SOAR Automation Developer Visual Playbook Editor")

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.
Understanding datapaths in Administer Splunk SOAR (Cloud)

In Splunk Phantom, labels are used to categorize containers and trigger specific automated responses.
When a container is created, labels can be assigned to it based on the nature of the event, type of incident, or other criteria. These labels are then matched against playbooks, which have label conditions defined within them. When the conditions are met, the corresponding playbooks are automatically executed. Labels do not directly control service level agreements, default severity, ownership, sensitivity,
or app execution permissions.

The correct answer is C because the default tenant's ID is 1. The tenant ID is a unique identifier for each tenant on a multi-tenant Phantom server. The default tenant is the tenant that is created when Phantom is installed and contains all the existing data and assets. The default tenant's ID is always 1 and cannot be changed. Other tenants have IDs that are assigned sequentially starting from 2. See Splunk SOAR Documentation for more details. In a multi-tenant Splunk SOAR environment, the default tenant is typically assigned an ID of 1. This ID is system-generated and is used to uniquely identify the default tenant within the SOAR database and system configurations. The default tenant serves as the primary operational environment before any additional tenants are configured, and its ID is crucial for database operations, API calls, and internal reference within the SOAR platform. Understanding and correctly using tenant IDs is essential for managing resources, permissions, and data access in a multi-tenant SOAR setup.

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.
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.

In Splunk SOAR, if a user needs to run two different on_poll searches for a Splunk Cloud instance, the way to achieve this is to configure a second Splunk asset specifically for the second query. Each asset can be configured with its own on_poll search, allowing multiple searches to be run at their respective intervals.
This method provides flexibility and ensures that each search can be managed and configured individually.
The correct way to run two different on_poll searches from a Splunk Cloud instance to Splunk SOAR is to configure a second Splunk asset with the second query. Each Splunk asset in Splunk SOAR can only have one query for the on_poll event, which defines which events to pull in and when to pull them in.
Therefore, if you need to run two different queries, you need to create two separate Splunk assets and configure them with the respective queries. The other options are either not possible or not effective for this purpose. For example: Installing a second Splunk app in Splunk SOAR will not help, as the app is just a container for the actions and assets, not the source of the data.
Configuring the second query in the Splunk App for SOAR Export will not work, as this app is used to forward events from the Splunk platform to Splunk SOAR, not to pull them in.
Entering the two queries in the asset as comma separated values will not work, as the asset will only accept one valid query for the on_poll event.

The Phantom App for Splunk allows a user to run Splunk queries from within Phantom. This app provides actions such as run query, ingest events, and save search, which enable the user to interact with Splunk from Phantom playbooks or the Phantom UI. The other apps are not relevant for this use case. The Splunk
App for Phantom is used to send data from Splunk to Phantom. The Integrated Splunk/Phantom app is a deprecated app that was replaced by the Splunk App for Phantom. The Splunk App for Phantom Reporting is used to generate reports on Phantom activity from Splunk. The Phantom App for Splunk is the application that enables Splunk users to run Splunk queries from within the Splunk Phantom platform. This app integrates Splunk's data and search capabilities into Phantom's security automation and orchestration framework, allowing users to perform actions such as running searches, creating events, and updating records in Splunk directly from Phantom.

Upon enabling multi-tenancy in Splunk SOAR, the first step in configuration typically involves setting up the default tenant. This foundational step is critical as it establishes the primary operating environment under which subsequent tenants can be created and managed. The default tenant serves as the template for permissions, settings, and configurations that might be inherited or customized by additional tenants.
Proper configuration of the default tenant ensures a stable and consistent framework for multi-tenancy operations, allowing for segregated environments within the same SOAR instance, each tailored to specific operational needs or organizational units.

To get playbook results for a single artifact, a user can utilize the contextual menu option directly from the artifact itself. This method allows for targeted execution of a playbook on just that artifact, facilitating a focused analysis or action based on the data within that specific artifact. This approach is particularly useful when a user needs to drill down into the details of an individual piece of evidence or data point within a larger incident or case, allowing for granular control and execution of playbooks in the Splunk SOAR environment.

To restrict playbook execution to members of the admin role within Splunk SOAR, the 'Execute Playbook' capability must be managed appropriately. This is done by ensuring that this capability is removed from all other roles except the admin role. Role-based access control (RBAC) in Splunk SOAR allows for granular permissions, which means you can configure which roles have the ability to execute playbooks, and by restricting this capability, you can control which users are able to initiate playbook runs.

To integrate Splunk Phantom with a Splunk Cloud instance, network communication over certain ports is necessary. The default ports for web traffic are TCP 80 for HTTP and TCP 443 for HTTPS. Since Splunk Cloud instances are accessed over the internet, ensuring that these ports are open is essential for Phantom to communicate with Splunk Cloud for various operations, such as running searches, sending data, and receiving results. It is important to note that TCP 8088 is typically used by Splunk's HTTP Event Collector (HEC), which may also be relevant depending on the integration specifics.

The main purpose of using a customized workbook is to guide user activity and coordination during event analysis and case operations. Workbooks can be customized to include different phases, tasks, and instructions for the users. The other options are not valid purposes of using a customized workbook. See Workbooks for more information.
Customized workbooks in Splunk SOAR are designed to guide users through the process of analyzing events and managing cases. They provide a structured framework for documenting investigations, tracking progress, and ensuring that all necessary steps are followed during incident response and case management. This helps in coordinating team efforts, maintaining consistency in response activities, and ensuring that all aspects of an incident are thoroughly investigated and resolved. Workbooks can be customized to fit the specific processes and procedures of an organization, making them a versatile tool for managing security operations.