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Databricks Machine Learning Professional Exam - Topic 5 Question 8 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 8
Topic #: 5
[All Databricks Machine Learning Professional Questions]

Which of the following Databricks-managed MLflow capabilities is a centralized model store?

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Suggested Answer: C

by Hubert at Jan 28, 2024, 07:13 AM

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Allene
3 months ago
Surprised to see people confused, Model Registry is the clear answer!
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Niesha
3 months ago
I thought Feature Store was the centralized part?
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Alpha
3 months ago
Wait, isn't Model Serving also important?
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Mila
4 months ago
Definitely agree, Model Registry is the way to go!
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Elke
4 months ago
I'm pretty sure it's B, Model Registry.
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Gracia
4 months ago
I’m a bit confused; I thought the Feature Store was for features, not models. Maybe I should go with Model Registry too?
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Susana
4 months ago
I practiced a similar question, and I think the answer is definitely Model Registry since it’s meant for managing models.
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Portia
4 months ago
I remember studying the differences between these options, and I feel like Model Serving is more about deploying models, not storing them.
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Reita
5 months ago
I think the centralized model store is related to the Model Registry, but I'm not entirely sure.
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Kiera
5 months ago
I'm a bit stuck on this one. I know Databricks has a lot of MLflow features, but I'm not super familiar with the specifics of each one. I'll have to review my notes and try to eliminate the options that don't sound right.
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Naomi
5 months ago
Okay, let me see. The question is asking about a centralized model store, so that rules out A, C, D, and E. B, the Model Registry, sounds like the right answer since it's a centralized place to store and manage models.
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Marcelle
5 months ago
Hmm, I'm a bit unsure about this one. I know Databricks has a lot of MLflow features, but I'm not totally clear on the differences between them. I'll have to think this through carefully.
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Carlene
5 months ago
I'm pretty sure the answer is B. Model Registry seems like the centralized model store capability that Databricks provides.
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Alpha
5 months ago
I've used the Model Registry before, so I'm confident that's the correct answer here. It's the Databricks-managed capability that acts as a central hub for storing and versioning machine learning models.
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Virgie
5 months ago
Okay, let's see. The question is asking about the Service Desk's role in the Change Management process, so I'm guessing the answer has to do with how the Service Desk handles changes.
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Rodolfo
5 months ago
This seems straightforward to me. The best action is to update the information architecture to ensure the system is designed with privacy in mind from the ground up.
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Brittni
5 months ago
Hmm, I'm a bit unsure about this one. The options seem pretty broad - contract negotiation, expert judgment, statement of work. I'll need to think through the specifics of each to determine the best answer.
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