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Databricks Exam Databricks Machine Learning Professional Topic 2 Question 44 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 44
Topic #: 2
[All Databricks Machine Learning Professional Questions]

Which of the following machine learning model deployment paradigms is the most common for machine learning projects?

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Suggested Answer: B

by Denna at Aug 17, 2025, 05:46 PM

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Keshia
2 days ago
I have a feeling that on-device deployment is becoming more popular, especially with mobile apps, but I could be wrong.
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Tasia
8 days ago
I remember practicing a question about real-time vs. batch processing, and I feel like real-time is gaining popularity.
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Rosina
13 days ago
I think batch deployment is pretty common, but I'm not entirely sure if it's the most common.
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Junita
18 days ago
I feel pretty good about this question. From my understanding, the most common machine learning deployment paradigm is batch processing, where models are deployed to run on a regular schedule rather than in real-time or on-device. I'll go with that.
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Felicitas
23 days ago
Okay, I've got a strategy for this. I'll start by eliminating the options that I'm sure are not the most common, then focus on the remaining ones and try to determine the best answer.
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Pansy
28 days ago
Hmm, I'm a bit unsure about this one. The different deployment options seem similar, and I'm not entirely confident in my knowledge of the most common approach. I'll have to think this through carefully.
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Florinda
1 month ago
This seems like a straightforward question about common machine learning deployment paradigms. I'll review the options and try to recall which one is typically the most common.
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Andra
1 month ago
I agree with Nieves, Real-time deployment is widely used for machine learning projects.
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Roy
3 months ago
Hmm, I think the most common deployment paradigm is batch. That's how I've seen it done in my projects.
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Nieves
3 months ago
I think the most common deployment paradigm is Real-time.
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