In this image, which container fields are searched for the text "Malware"?
A. Event Name and Artifact Names.
B. Event Name, Notes, Comments.
C. Event Name or ID.
Correct Answer: C
In the image provided, the search functionality within Splunk's Phantom Security Orchestration, Automation, and Response (SOAR) platform is shown. When you enter a search term like "Malware" in the search bar, Splunk Phantom will typically search through the container fields that are most relevant to identifying and categorizing events. Containers in Phantom are used to group related events, indicators, cases, and tasks. They contain various fields that can be searched through, such as the Event Name or ID, which are primary identifiers for a container. This search does not extend to fields such as Notes or Comments, which are ancillary text entries linked to an event or container. Artifact Names are part of the container's data structure but are not the primary search target in this context unless specifically configured to be included in the search scope.
Question 72:
What values can be applied when creating Custom CEF field?
A. Name
B. Name, Data Type
C. Name, Value
D. Name, Data Type, Severity
Correct Answer: B
Custom CEF fields can be created with a name and a data type. The name must be unique and the data type must be one of the following: string, int, float, bool, or list. The severity is not a valid option for custom CEF fields. See Creating custom CEF fields for more details. When creating Custom Common Event Format (CEF) fields in Splunk SOAR (formerly Phantom), the essential values you need to specify are the "Name" of the field and the "Data Type." The "Name" is the identifier for the field, while the "Data Type" specifies the kind of data the field will hold, such as string, integer, IP address, etc. This combination allows for the structured and accurate representation of data within SOAR, ensuring that custom fields are compatible with the platform's data processing and analysis mechanisms.
Question 73:
Some of the playbooks on the Phantom server should only be executed by members of the admin role. How can this rule be applied?
A. Add a filter block to al restricted playbooks that Titters for runRole - "Admin''.
B. Add a tag with restricted access to the restricted playbooks.
C. Make sure the Execute Playbook capability is removed from al roles except admin.
D. Place restricted playbooks in a second source repository that has restricted access.
Correct Answer: C
The correct answer is C because the best way to restrict the execution of playbooks to members of the admin role is to make sure the Execute Playbook capability is removed from all roles except admin. The Execute Playbook capability is a permission that allows a user to run any playbook on any container. By default, all roles have this capability, but it can be removed or added in the Phantom UI by going to Administration > User Management > Roles. Removing this capability from all roles except admin will ensure that only admin users can execute playbooks. See Splunk SOAR Documentation for more details. To ensure that only members of the admin role can execute specific playbooks on the Phantom server, the most effective approach is to manage role-based access controls (RBAC) directly. By configuring the system to remove the "Execute Playbook" capability from all roles except for the admin role, you can enforce this rule. This method leverages Phantom's built-in RBAC mechanisms to restrict playbook execution privileges. It is a straightforward and secure way to ensure that only users with the necessary administrative privileges can initiate the execution of sensitive or critical playbooks, thus maintaining operational security and control.
Question 74:
Within the 12A2 design methodology, which of the following most accurately describes the last step?
A. List of the apps used by the playbook.
B. List of the actions of the playbook design.
C. List of the outputs of the playbook design.
D. List of the data needed to run the playbook.
Correct Answer: C
The correct answer is C because the last step of the 12A2 design methodology is to list the outputs of the playbook design. The outputs are the expected results or outcomes of the playbook execution, such as sending an email, creating a ticket, blocking an IP, etc. The outputs should be aligned with the objectives and goals of the playbook. See Splunk SOAR Certified Automation Developer for more details. The 12A2 design methodology in the context of Splunk SOAR (formerly Phantom) refers to a structured approach to developing playbooks. The last step in this methodology focuses on defining the outputs of the playbook design. This step is crucial as it outlines what the expected results or actions the playbook should achieve upon its completion. These outputs can vary widely, from sending notifications, creating tickets, updating statuses, to generating reports. Defining the outputs is essential for understanding the playbook's impact on the security operation workflows and how it contributes to resolving security incidents or automating tasks.
Question 75:
How can the DECIDED process be restarted?
A. By restarting the playbook daemon.
B. On the System Health page.
C. In Administration > Server Settings.
D. By restarting the automation service.
Correct Answer: D
DECIDED process is a core component of the SOAR automation engine that handles the execution of playbooks and actions. The DECIDED process can be restarted by restarting the automation service, which can be done from the command line using the service phantom restart command2. Restarting the automation service also restarts the playbook daemon, which is another core component of the SOAR automation engine that handles the loading and unloading of playbooks3. Therefore, option D is the correct answer, as it restarts both the DECIDED process and the playbook daemon. Option A is incorrect, because restarting the playbook daemon alone does not restart the DECIDED process. Option B is incorrect, because the System Health page does not provide an option to restart the DECIDED process or the automation service. Option C is incorrect, because the Administration > Server Settings page does not provide an option to restart the DECIDED process or the automation service.
In Splunk SOAR, if the DECIDED process, which is responsible for playbook execution, needs to be restarted, this can typically be done by restarting the automation (or phantom) service. This service manages the automation processes, including playbook execution. Restarting it can reset the DECIDED process, resolving issues related to playbook execution or process hangs.
Question 76:
Which of the following can be done with the System Health Display?
A. Create a temporary, edited version of a process and test the results.
B. Partially rewind processes, which is useful for debugging.
C. View a single column of status for SOAR processes. For metrics, click Details.
D. Reset DECIDED to reset playbook environments back to at-start conditions.
Correct Answer: C
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. One of the things that can be done with the System Health Display is to reset DECIDED, which is a core component of the SOAR automation engine that handles the execution of playbooks and actions. Resetting DECIDED can be useful for troubleshooting or debugging purposes, as it resets the playbook environments back to at-start conditions, meaning that any changes made by the playbooks are discarded and the playbooks are reloaded. To reset DECIDED, you need to click on the Reset DECIDED button on the System Health Display dashboard. Therefore, option D is the correct answer, as it is the only option that can be done with the System Health Display. Option A is incorrect, because creating a temporary, edited version of a process and testing the results is not something that can be done with the System Health Display, but rather with the Debugging dashboard, which allows you to modify and run a process in a sandbox environment. Option B is incorrect, because partially rewinding processes, which is useful for debugging, is not something that can be done with the System Health Display, but rather with the Rewind feature, which allows you to go back to a previous state of a process and resume the execution from there. Option C is incorrect, because viewing a single column of status for SOAR processes is not something that can be done with the System Health Display, but rather with the Status Display dashboard, which shows a simplified view of the SOAR processes and their status.
1: Web search results from search_web(query="Splunk SOAR Automation Developer System Health Display")
Question 77:
When writing a custom function that uses regex to extract the domain name from a URL, a user wants to create a new artifact for the extracted domain. Which of the following Python API calls will create a new artifact?
A. phantom.new_artifact ()
B. phantom. update ()
C. phantom.create_artifact ()
D. phantom.add_artifact ()
Correct Answer: C
In the Splunk SOAR platform, when writing a custom function in Python to handle data such as extracting a domain name from a URL, you can create a new artifact using the Python API call phantom.create_artifact(). This function allows you to specify the details of the new artifact, such as the type, CEF (Common Event Format) data, container it belongs to, and other relevant information necessary to create an artifact within the system.
Question 78:
Which of the following queries would return all artifacts that contain a SHA1 file hash?
A. https:///rest/artifact?_filter_cef_md5_insull=false
B. https:///rest/artifact?_filter_cef_Shal_contains=""
C. https:///rest/artifact?_filter_cef_shal_insull=False
D. https:///rest/artifact?_filter_shal__insull=False
Correct Answer: C
To retrieve all artifacts containing a SHA1 file hash via the Splunk SOAR REST API, the appropriate query would filter for artifacts where the 'cef_sha1' field is not null, indicating that a SHA1 hash is present. The correct REST API call should use the filter parameter _filter_cef_shal__isnull=False (assuming 'shal' is a typo and it should be 'sha1'). This query parameter is used to filter out artifacts that do not have a SHA1 hash, thus returning only those that do.
Question 79:
To limit the impact of custom code on the VPE, where should the custom code be placed?
A. A custom container or a separate KV store.
B. A separate code repository.
C. A custom function block.
D. A separate container.
Correct Answer: C
To limit the impact of custom code on the Visual Playbook Editor (VPE) in Splunk SOAR, custom code should be placed within a custom function block. Custom function blocks are designed to encapsulate code within a playbook, allowing users to input their own Python code and execute it as part of the playbook run. By confining custom code to these blocks, it maintains the VPE's performance and stability by isolating the custom code from the core functions of the playbook.
A custom function block is a way of adding custom Python code to your playbook, which can expand the functionality and processing of your playbook logic. Custom functions can also interact with the REST API in a customizable way. You can share custom functions across your team and across multiple playbooks to increase collaboration and efficiency. To create custom functions, you must have Edit Code permissions, which can be configured by an Administrator in Administration > User Management > Roles and Permissions. Therefore, option C is the correct answer, as it is the recommended way of placing custom code on the VPE, which limits the impact of custom code on the VPE performance and security. Option A is incorrect, because a custom container or a separate KV store are not valid ways of placing custom code on the VPE, but rather ways of storing data or artifacts. Option B is incorrect, because a separate code repository is not a way of placing custom code on the VPE, but rather a way of managing and versioning your code outside of Splunk SOAR. Option D is incorrect, because a separate container is not a way of placing custom code on the VPE, but rather a way of creating a new event or case.
1: Add custom code to your Splunk SOAR (Cloud) playbook with the custom function block using the classic playbook editor
Question 80:
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.
Correct Answer: A
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. Reference: Splunk SOAR Admin Guide, page 45. Assets in Splunk Phantom are configurations that contain the necessary information for apps to connect to external systems and services. This information can include IP addresses, domain names, credentials like usernames and passwords, and other necessary parameters such as API keys or tokens. These parameters enable the apps to perform actions like running queries, executing commands, or gathering data. Assets do not provide the actual Python code, REST API capabilities, or network infrastructure; they are the bridge between the apps and the external systems with the configuration data needed for successful communication and action execution
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