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Playbooks typically handle which types of data?
Playbooks in Splunk SOAR are designed to handle various types of data to automate responses to security incidents. The correct types of data handled by playbooks include:
Container Data: Containers are used to group related data for an incident or event. Playbooks can access this information to perform actions and make decisions.
Artifact CEF Data: Artifacts hold detailed information about the event or incident, including CEF (Common Event Format) data. Playbooks often process this CEF data for various actions.
Result Data: This refers to the data generated from actions executed by the playbook, such as results from API calls, integrations, or automated responses.
List Data: Lists in Splunk SOAR are collections of reusable data (such as IP blocklists, whitelists, etc.) that playbooks can access to check values or make decisions based on external lists.
The inclusion of List data instead of Threat data distinguishes this option from others, as lists are more directly used by playbooks during execution, whereas threat data is a broader category that is often processed but not always directly handled by playbooks.
Splunk SOAR Documentation: Playbook Data Handling.
Splunk SOAR Best Practices: Automating with Playbooks.
Where in SOAR can a user view the JSON data for a container?
In Splunk SOAR, the Investigation page is where users can delve into the details of containers, artifacts, and actions. It provides a comprehensive view of the incident or event under investigation, including the JSON data associated with containers. This JSON data represents the structured information about the container, including its attributes, artifacts, and actions taken within the playbook. Options A, C, and D do not typically provide a direct view of the container's JSON data, making option B the correct answer for where a user can view this information within SOAR.
A container is the top-level data structure that SOAR playbook APIs operate on. Every container is a structured JSON object which can nest more arbitrary JSON objects, that represent artifacts. A container is the top-level object against which automation is run. To view the JSON data for a container, you need to navigate to the Investigation page, which shows the details of a container, such as its name, label, owner, status, severity, and artifacts. On the Investigation page, you can click on the JSON tab, which displays the JSON representation of the container and its artifacts. Therefore, option B is the correct answer, as it states where in SOAR a user can view the JSON data for a container. Option A is incorrect, because the analyst queue is not where a user can view the JSON data for a container, but rather where a user can view the list of containers assigned to them or their team. Option C is incorrect, because the data ingestion display is not where a user can view the JSON data for a container, but rather where a user can view the status and configuration of the data sources that ingest data into SOAR. Option D is incorrect, because the audit log is not where a user can view the JSON data for a container, but rather where a user can view the history of actions performed on the SOAR system, such as creating, updating, or deleting objects.
1: Understanding containers in Splunk SOAR (Cloud)
Which of the following is true about a child playbook?
In Splunk SOAR, a child playbook can access both the container data and the action result data from the parent playbook. This capability allows child playbooks to continue processing data or actions that were initiated by the parent playbook, ensuring smooth data flow and facilitating complex workflows across multiple playbooks. When a parent playbook calls a child playbook, the container (which holds the event and artifact data) and action results (which hold the outputs of previously executed actions) are passed to the child playbook.
This access enables more flexible and powerful automation by allowing the child playbook to build upon the work done by the parent.
Splunk SOAR Playbook Documentation.
Splunk SOAR Playbook Development Best Practices.
What are the differences between cases and events?
Which of the following is an advantage of using the Visual Playbook Editor?
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.