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Which of the following Databricks-managed MLflow capabilities is a centralized model store?
Suggested Answer: C
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17 comments · newest first
AL
Allene
10 months ago
Surprised to see people confused, Model Registry is the clear answer!
NI
Niesha
11 months ago
I thought Feature Store was the centralized part?
AL
Alpha
11 months ago
Wait, isn't Model Serving also important?
MI
Mila
11 months ago
Definitely agree, Model Registry is the way to go!
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Elke
11 months ago
I'm pretty sure it's B, Model Registry.
GR
Gracia
12 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?
SU
Susana
12 months ago
I practiced a similar question, and I think the answer is definitely Model Registry since it’s meant for managing models.
PO
Portia
12 months ago
I remember studying the differences between these options, and I feel like Model Serving is more about deploying models, not storing them.
RE
Reita
1 year ago
I think the centralized model store is related to the Model Registry, but I'm not entirely sure.
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Kiera
1 year 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.
NA
Naomi
1 year 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.
MA
Marcelle
1 year 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.
CA
Carlene
1 year ago
I'm pretty sure the answer is B. Model Registry seems like the centralized model store capability that Databricks provides.
AL
Alpha
1 year 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.
VI
Virgie
1 year 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.
RO
Rodolfo
1 year 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.
BR
Brittni
1 year 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.