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 ()
Explanation: 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.
What are indicators?
A. Action result items that determine the flow of execution in a playbook.
B. Action results that may appear in multiple containers.
C. Artifact values that can appear in multiple containers.
D. Artifact values with special security significance.
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.
Explanation: 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.
Which of the following is the complete list of the types of backups that are supported by Phantom?
A. Full backups.
B. Full, delta, and incremental backups.
C. Full and incremental backups.
D. Full and delta backups.
Explanation: Splunk Phantom supports different types of backups to safeguard data. Full backups create a complete copy of the current state of the system, while incremental backups only save the changes made since the last backup. This approach allows for efficient use of storage space and faster backups after the initial full backup. Delta backups, which would save changes since the last full or incremental backup, are not a standard part of Phantom's backup capabilities according to available documentation. Therefore, the complete list of backups supported by Phantom would be Full and Incremental backups.
Which of the following views provides a holistic view of an incident - providing event metadata, Service Level Agreement status, Severity, sensitivity of an event, and other detailed event info?
A. Executive
B. Investigation
C. Technical
D. Analyst
Explanation: The Investigation view in Splunk SOAR provides a comprehensive and holistic view of an incident. This view includes vital details such as event metadata, Service Level Agreement (SLA) status, severity, sensitivity of the event, and other relevant information. It allows analysts to track and manage incidents effectively by presenting a clear picture of all aspects of the investigation process. This view is designed to help users take timely actions based on critical data points, making it a pivotal feature for incident response teams. Other views like Executive or Analyst may focus on specific reporting or technical details, but the Investigation view provides the most complete perspective on the incident and its progress.
Which of the following applies to filter blocks?
A. Can select which blocks have access to container data.
B. Can select assets by tenant, approver, or app.
C. Can be used to select data for use by other blocks.
D. Can select containers by seventy or status.
Explanation: The correct answer is C because filter blocks can be used to select data for
use by other blocks. Filter blocks can filter data from the container, artifacts, or custom lists
based on various criteria, such as field name, value, operator, etc. Filter blocks can also
join data from multiple sources using the join action. The output of the filter block can be
used as input for other blocks, such as decision, format, prompt, etc. See Splunk SOAR
Documentation for more details.
Filter blocks within Splunk SOAR playbooks are designed to sift through data and select
specific pieces of information based on defined criteria. These blocks are crucial for
narrowing down the data that subsequent blocks in a playbook will act upon. By applying
filters, a playbook can focus on relevant data, thereby enhancing efficiency and ensuring
that actions are taken based on precise, contextually relevant information. This capability is
essential for tailoring the playbook's actions to the specific needs of the incident or
workflow, enabling more targeted and effective automation strategies. Filters do not directly
select blocks for container data access, choose assets by various administrative criteria, or
select containers by attributes like severity or status; their primary function is to refine data
within the playbook's operational context.
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