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Splunk Exam SPLK-2003 Topic 1 Question 19 Discussion

Actual exam question for Splunk's SPLK-2003 exam
Question #: 19
Topic #: 1
[All SPLK-2003 Questions]

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?

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Suggested Answer: B

by Kati at Feb 03, 2023, 01:39 AM

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Sheridan
26 days ago
Hey, I heard the exam proctors are using the 'py-postgresq1' module to keep track of our answers. Better watch out, guys!
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Brinda
29 days ago
The 'Handle' method? Sounds like something straight out of a sci-fi movie! C is the right answer, folks.
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Maybelle
14 days ago
I agree, using artifacts is the way to go.
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Sharika
30 days ago
Haha, 'py-postgresq1'? Looks like someone needs to work on their spelling! But in all seriousness, C is the clear winner here.
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Cyndy
1 months ago
Hmm, I'm not sure about using the py-postgresql module directly. That seems a bit too tightly coupled for my liking. C is definitely the best choice here.
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Brande
3 days ago
Definitely, using the Handle method to pass data directly between playbooks can lead to more modular and reusable design.
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Jin
4 days ago
Yeah, I think creating artifacts in one playbook and collecting them in another is a better approach.
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Adelina
17 days ago
I agree, using the py-postgresql module directly does seem too tightly coupled.
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Florinda
1 months ago
C is the way to go! Keeping the playbooks modular and using artifacts to share data is a great practice for reusability and maintainability.
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Timothy
2 months ago
I prefer using the Handle method to pass data directly between playbooks. It's more efficient in my opinion.
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Jarod
2 months ago
I agree with Stephen. It helps in keeping the playbooks modular and reusable.
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Stephen
2 months ago
I think the best practice is to create artifacts using one playbook and collect them in another playbook.
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