SPLK-2003 Exam Dumps

A.   By adding parameters to the URL similar to the following: phantom/rest/container?_filter_tags_contains="sumo".

Explanation: Django filter queries in Splunk SOAR are performed by appending filter parameters directly to the REST API URL. This allows users to refine their search and retrieve specific data. For example, to filter containers by tags containing the word "sumo", the following URL structure would be used:
https:///rest/container?_filter_tags_contains="sumo". This format enables users to construct dynamic queries that can filter results based on specified criteria within the Django framework used by Splunk SOAR.
The correct way to perform a Django filter query in Splunk SOAR is to add parameters to the URL similar to the following: phantom/rest/container?_filter_tags_contains=“sumo”.
This will return a list of containers that have the tag “sumo” in them. You can use various operators and fields to filter the results according to your needs. For more details, see Query for Data and Use filters in your Splunk SOAR (Cloud) playbook to specify a subset of artifacts before further processing. The other options are either incorrect or irrelevant for this question. For example:
•phantom/rest/search/app/contains/“sumo” is not a valid URL for a Django filter query. It will return an error message saying “Invalid endpoint”.
•There is no Django Filter Query Editor in the Administration panel of Splunk SOAR. You can use the REST API Tester to test your queries, but not to edit them.
•There is no SOAR Django App that needs to be installed or configured for performing Django filter queries. Splunk SOAR uses the Django framework internally, but you do not need to install or use any additional apps for this purpose.

C.   From the Apps menu, click the supported actions dropdown for each app.

Explanation: In Splunk SOAR, a user can determine which app actions are available by navigating to the Apps menu. From there, the user can click on the supported actions dropdown for each app to view the actions that can be performed by that app. This dropdown menu provides a list of all the actions that the app is capable of executing, allowing the user to understand the functionality provided by the app and how it can be utilized within playbooks11.

A.   The parent can pass arguments to the child when called, and the child can return values from the end block.

Explanation: In Splunk SOAR, parent and child playbooks can pass information between each other using arguments. The parent playbook can pass specific arguments to the child playbook when it is called, enabling the child playbook to utilize these values in its execution. Once the child playbook finishes its execution, it can return values through the end block. This mechanism allows for efficient and structured communication between parent and child playbooks, enabling complex, multi-step automation workflows. Other options are incorrect because creating artifacts with specific naming conventions is not necessary for passing information between playbooks, and artifacts are not used for argument or result passing between playbooks in this manner.

C.   Use Django queries; use curl to create a container and add artifacts to it; add action blocks.

Explanation: The Phantom REST API, often interacted with through the Phantom REST APP, is a powerful tool for automating and integrating Splunk SOAR with other systems. Common uses of the Phantom REST APP include using Django queries to interact with the SOAR database, using curl commands to programmatically create containers and add artifacts to them, and configuring action blocks within playbooks for automated actions. This flexibility allows for a wide range of automation and integration possibilities, enhancing the SOAR platform's capability to respond to security incidents and manage data.

D.   Playbooks

Explanation: The severity of a container in Splunk Phantom can be set manually or automatically during the ingestion process. In addition to these methods, playbooks can also change the severity of a container. Playbooks are automated workflows that define a series of actions based on certain triggers and conditions. Within a playbook, actions can be defined to adjust the severity level of a container depending on the analysis of the event data, the outcome of actions taken, or other contextual factors. This dynamic adjustment allows for a more accurate and responsive incident prioritization as new information becomes available during the investigation process.

B.   Memory Usage

C.   Disk Usage

D.   Load Average

System Health Display is a dashboard that shows the status and performance of the SOAR processes and components, such as the automation service, the playbook daemon, the DECIDED process, and the REST API. Some of the metrics that can be seen from the System Health Display are:

• Memory Usage: The percentage of memory used by the system and the processes.
• Disk Usage: The percentage of disk space used by the system and the processes.
• Load Average: The average number of processes in the run queue or waiting for disk I/O over a period of time.

Therefore, options B, C, and D are the correct answers, as they are the metrics that can be seen from the System Health Display. Option A is incorrect, because Playbook Usage is not a metric that can be seen from the System Health Display, but rather a metric that can be seen from the Playbook Usage dashboard, which shows the number of playbooks and actions run over a period of time.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")
The System Health Display in Splunk SOAR provides several metrics to help monitor and manage the health of the system. These typically include:

• B: Memory Usage - This metric shows the amount of memory being used by the SOAR platform, which is important for ensuring that the system does not exceed available resources.
• C: Disk Usage - This metric indicates the amount of storage space being utilized, which is crucial for maintaining adequate storage resources and for planning capacity.
• D: Load Average - This metric provides an indication of the overall load on the system over a period of time, which helps in understanding the system's performance and in identifying potential bottlenecks or issues.

Playbook Usage is generally not a metric displayed on the System Health page; instead, it's more related to the usage analytics of playbooks rather than system health metrics.

B.   Automation

Explanation: In Splunk SOAR, the appropriate role for an account that will only be used to execute automated tasks is the “Automation” role. This service account role is specifically designed for automated tasks, including REST API operations, playbook execution, and ingestion. It is intended for use by systems rather than human users and provides the necessary permissions for automated interactions with the SOAR platform1.
References:Splunk SOAR documentation on managing roles and permissions1.
In Splunk SOAR, the “Automation” role is designed specifically for accounts that are intended for executing automated tasks. These tasks can include REST API operations, playbook actions, and data ingestion processes. The Automation role is a type of service account role intended for system-to-system interactions and is not meant to be used by human operators. It provides a tailored set of permissions that allows for the execution of automated processes without granting broader access that would be unnecessary or insecure for an automated account.
The designation of this role is critical in maintaining proper security and operational boundaries within the SOAR platform. By restricting the automated account to just the Automation role, Splunk SOAR ensures that automated processes run with the least privilege necessary, reducing the risk of unauthorized actions and maintaining a clear separation between human users and automated systems.

C.   Cases: contain a collection of containers.
Events: contain potential threats.

Explanation: In Splunk SOAR, an event is a security occurrence that may require a response. It is ingested from a third-party source and can be labeled to group related events together. The default label for containers is “Events,” which signifies potential threats13. A case, on the other hand, is a container that holds several containers, consolidating multiple events into one logical management unit. Cases can include artifacts and external evidence such as screen captures, analyst notes, and event data from thirdparty products22. They are used to manage and analyze investigation data tied to specific security events and incidents, providing a structured approach to incident response34.

C.   SplunkWeb (8000), SplunkD (8089), HTTP Collector (8088)

Explanation: For Splunk SOAR to connect with Splunk Enterprise, certain default ports must be configured to facilitate communication between the two platforms. Typically, SplunkWeb, which serves the Splunk Enterprise web interface, uses port 8000. SplunkD, the Splunk daemon that handles most of the back-end services, listens on port 8089. The HTTP Event Collector (HEC), which allows HTTP clients to send data to Splunk, typically uses port 8088. These ports are essential for the integration, allowing SOAR to send data to Splunk for indexing, searching, and visualization. Options A, B, and D list incorrect port configurations for this purpose, making option C the correct answer based on standard Splunk configurations. These are the default ports used by Splunk SOAR (On-premises) to communicate with the embedded Splunk Enterprise instance. SplunkWeb is the web interface for Splunk Enterprise, SplunkD is the management port for Splunk Enterprise, and HTTP Collector is the port for receiving data from HTTP Event Collector (HEC). The other options are either incorrect or not default ports. For example, option B has the SplunkWeb and SplunkD ports reversed, and option D has arbitrary port numbers that are not used by Splunk by default.

A.   Event Name and Artifact Names.

Explanation: The image shows a user interface of “splunk>phantom” with a search bar at the top, where a search for “Malware” has been initiated. The tabs labeled “Events,” “Indicators,” “Cases,” and “Tasks” suggest that the search functionality could span across various container fields within the Splunk SOAR environment. Typically, the search would include fields that are most relevant to the user’s query, which in this case, are likely to be the Event Name and Artifact Names. These fields are central to identifying and categorizing events and artifacts within Splunk SOAR, making them primary targets for a search term like “Malware” which is commonly associated with security events and indicators17.