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Databricks Exam Databricks-Machine-Learning-Professional Topic 8 Question 19 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam
Question #: 19
Topic #: 8
[All Databricks-Machine-Learning-Professional Questions]

Which of the following is an advantage of using the python_function(pyfunc) model flavor over the built-in library-specific model flavors?

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Suggested Answer: B

by Alva at Jul 03, 2024, 08:45 PM

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Angelica
4 months ago
Hmm, I'm torn between C and E. Maybe I should just roll a die to decide. Or, you know, use my brain and pick C.
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Tiara
4 months ago
A? Really? That's like saying a Ferrari has no benefits over a tricycle. C is the clear winner here.
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Latosha
2 months ago
C is definitely the better choice. It makes deployment much simpler.
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Sophia
2 months ago
C) python_function can be used to deploy models without worrying about which library was used to create the model
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Elenore
2 months ago
A) python_function provides no benefits over the built-in library-specific model flavors
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Dahlia
3 months ago
I agree, C is definitely the better choice
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Shayne
3 months ago
C) python_function can be used to deploy models without worrying about which library was used to create the model
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Cary
3 months ago
A) python_function provides no benefits over the built-in library-specific model flavors
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Allene
4 months ago
Yes, that's true. It can make deployment much faster and efficient.
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Maia
4 months ago
I believe option B is also important, being able to deploy models in a parallelizable fashion.
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Jose
4 months ago
Wow, the python_function model flavor sounds like a real Swiss Army knife! I'll go with E - the flexibility to deploy in any environment is super valuable.
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Albina
4 months ago
I'm going with B. The ability to deploy models in a parallelizable fashion is crucial for large-scale production deployments.
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Alecia
3 months ago
E is important as well, deploying models without worrying about the environment.
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Lavonna
4 months ago
D sounds useful too, being able to store models in an MLmodel file.
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Mireya
4 months ago
I think C is also a great advantage, not having to worry about the library used for the model.
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Vallie
4 months ago
I agree, deploying models in a parallelizable fashion is key for scalability.
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Nana
4 months ago
Option C makes the most sense to me. Being able to deploy models without worrying about the underlying library seems like a big advantage.
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Elbert
4 months ago
Definitely, not having to worry about the underlying library is a huge benefit.
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Virgina
4 months ago
I agree, option C does sound like a big advantage.
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Lenora
5 months ago
I agree with Allene, not worrying about which library was used is a big benefit.
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Allene
5 months ago
I think option C is the advantage of using python_function(pyfunc) model flavor.
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