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Question 7 - SPLK-2003 discussion

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A customer wants to design a modular and reusable set of playbooks that all communicate with each other. Which of the following is a best practice for data sharing across playbooks?

A.
Use the py-postgresq1 module to directly save the data in the Postgres database.
Answers
A.
Use the py-postgresq1 module to directly save the data in the Postgres database.
B.
Cal the child playbooks getter function.
Answers
B.
Cal the child playbooks getter function.
C.
Create artifacts using one playbook and collect those artifacts in another playbook.
Answers
C.
Create artifacts using one playbook and collect those artifacts in another playbook.
D.
Use the Handle method to pass data directly between playbooks.
Answers
D.
Use the Handle method to pass data directly between playbooks.
Suggested answer: C

Explanation:

The correct answer is C because creating artifacts using one playbook and collecting thoseartifacts in another playbook is a best practice for data sharing across playbooks. Artifacts aredata objects that are associated with a container and can be used to store information such asIP addresses, URLs, file hashes, etc. Artifacts can be created using theadd artifactaction in anyplaybook block and can be collected using theget artifactsaction in thefilterblock. Artifacts canalso be used to trigger active playbooks based on their label or type. SeeSplunk SOARDocumentationfor more details.In the context of Splunk SOAR, one of the best practices for data sharing across playbooks is tocreate artifacts in one playbook and use another playbook to collect and utilize those artifacts.Artifacts in Splunk SOAR are structured data related to security incidents (containers) thatplaybooks can act upon. By creating artifacts in one playbook, you can effectively pass data andcontext to subsequent playbooks, allowing for modular, reusable, and interconnected playbookdesigns. This approach promotes efficiency, reduces redundancy, and enhances the playbook'sability to handle complex workflows.

asked 23/09/2024
Lara Umemoto
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