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A company wants to build, tram, and deploy machine learning (ML) models.
Which AWS service can the company use to meet this requirement?
Suggested Answer: D
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35 comments · newest first
JO
Johnson
11 months ago
I thought Amazon Personalize was the best choice for ML too.
KA
Karan
11 months ago
Amazon Comprehend is more for NLP, not ML model deployment.
EV
Eve
11 months ago
Wait, can you really use SageMaker for all those tasks? Sounds too good!
KI
Kirk
11 months ago
I agree, SageMaker is the go-to for that.
SU
Susana
12 months ago
Definitely Amazon SageMaker for building and deploying ML models!
EL
Eleni
12 months ago
I feel like Amazon Comprehend is more about natural language processing, so it probably isn't the right choice here.
SH
Shawnda
1 year ago
I’m a bit confused; I thought Amazon Personalize was for recommendations, not general ML model deployment.
MI
Mickie
1 year ago
I remember practicing a question about AWS services for ML, and SageMaker was definitely mentioned as a key service.
CO
Cordie
1 year ago
I think the answer might be Amazon SageMaker since it’s specifically designed for building and deploying ML models, but I'm not entirely sure.
ER
Erin
1 year ago
I feel pretty confident about this one. Amazon SageMaker is the go-to service for end-to-end ML model development and deployment, so that's the answer I'm going with.
VI
Victor
1 year ago
I'm a bit confused on this one. There are a few different AWS ML services that could potentially fit the bill. I'll need to review the key features of each one to determine the best fit for this use case.
TA
Tamra
1 year ago
Okay, let me see. The question is asking about a service that can build, train, and deploy ML models, so that rules out some of the more specialized services like Comprehend and Forecast. I'm leaning towards SageMaker, but I'll double-check the other options just to be sure.
MA
Malika
1 year ago
Hmm, I'm not entirely sure about this one. I know Amazon has a bunch of different ML services, but I'm not super familiar with the details of each one. I'll have to think this through carefully.
HY
Hyun
1 year ago
I think this is a pretty straightforward question. Amazon SageMaker seems like the obvious choice here since it's a fully managed service for building, training, and deploying ML models.
LI
Linsey
1 year ago
Hmm, I'm a bit confused. Do we need to associate a specific work type or skill to the maintenance plan as well? I'm not sure if just the auto-generation is enough.
AN
Annita
2 years ago
Haha, Stefania's got a point. SageMaker is the duct tape of ML services - it just solves everything!
LI
Lilli
2 years ago
True, SageMaker is like the Swiss Army knife of ML services, it can handle a lot of different tasks.
KA
Kayleigh
2 years ago
I think Amazon Personalize could also be a good option for creating personalized recommendations.
JO
Joseph
2 years ago
I agree, SageMaker is definitely a versatile tool for building and deploying ML models.
ST
Stefania
2 years ago
SageMaker all the way! Anything else would be like trying to build a house with a screwdriver.
BR
Brandon
2 years ago
Hmm, I was thinking Personalize, but SageMaker does sound like the better fit. Can't go wrong with the 'Swiss Army Knife' of ML services.
KI
Kimbery
2 years ago
SageMaker is like the 'Swiss Army Knife' of ML services.
FE
Felice
2 years ago
Personalize is good, but SageMaker offers more flexibility.
PA
Pamella
2 years ago
Yeah, SageMaker is a versatile tool for building and deploying ML models.
WI
William
2 years ago
I think SageMaker is the way to go.
AL
Alva
2 years ago
I agree, SageMaker is the way to go. It's got everything the company needs, and it's a well-established AWS service.
AD
Adela
2 years ago
Yes, SageMaker has all the tools necessary for the company's requirements.
CR
Cristen
2 years ago
I think Amazon SageMaker is the best choice for building and deploying ML models.
EV
Eva
2 years ago
Amazon SageMaker seems like the most comprehensive option here. It covers the entire ML lifecycle, from building to deploying models.
QU
Quentin
2 years ago
Yes, Amazon SageMaker provides a complete solution for the ML lifecycle.
VA
Van
2 years ago
I agree, Amazon SageMaker is a great choice for building and deploying ML models.
EL
Elouise
2 years ago
I think Amazon Comprehend is more suitable for natural language processing tasks, not for building ML models.
ER
Erasmo
2 years ago
I believe Amazon Personalize could also be a good option for building ML models.
GL
Glenna
2 years ago
I agree with Margurite, Amazon SageMaker is a great choice for deploying ML models.
MA
Margurite
2 years ago
I think the company can use Amazon SageMaker for building ML models.