Amazon Exam CLF-C02 Topic 2 Question 26 Discussion

Actual exam question for Amazon's CLF-C02 exam

Question #: 26
Topic #: 2

[All CLF-C02 Questions]

A company wants to build, tram, and deploy machine learning (ML) models.

Which AWS service can the company use to meet this requirement?

AAmazon Personalize

BAmazon Comprehend

CAmazon Forecast

DAmazon SageMaker

Show Suggested Answer

Suggested Answer: D

by Benedict at Aug 27, 2024, 02:19 AM

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Annita

9 months ago

Haha, Stefania's got a point. SageMaker is the duct tape of ML services - it just solves everything!

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Lilli

8 months ago

True, SageMaker is like the Swiss Army knife of ML services, it can handle a lot of different tasks.

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Kayleigh

8 months ago

I think Amazon Personalize could also be a good option for creating personalized recommendations.

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Joseph

8 months ago

I agree, SageMaker is definitely a versatile tool for building and deploying ML models.

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Stefania

9 months ago

SageMaker all the way! Anything else would be like trying to build a house with a screwdriver.

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Brandon

9 months 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.

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Kimbery

8 months ago

SageMaker is like the 'Swiss Army Knife' of ML services.

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Felice

8 months ago

Personalize is good, but SageMaker offers more flexibility.

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Pamella

9 months ago

Yeah, SageMaker is a versatile tool for building and deploying ML models.

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William

9 months ago

I think SageMaker is the way to go.

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Alva

9 months ago

I agree, SageMaker is the way to go. It's got everything the company needs, and it's a well-established AWS service.

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Adela

9 months ago

Yes, SageMaker has all the tools necessary for the company's requirements.

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Cristen

9 months ago

I think Amazon SageMaker is the best choice for building and deploying ML models.

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Eva

10 months ago

Amazon SageMaker seems like the most comprehensive option here. It covers the entire ML lifecycle, from building to deploying models.

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Quentin

9 months ago

Yes, Amazon SageMaker provides a complete solution for the ML lifecycle.

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Van

9 months ago

I agree, Amazon SageMaker is a great choice for building and deploying ML models.

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Elouise

10 months ago

I think Amazon Comprehend is more suitable for natural language processing tasks, not for building ML models.

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Erasmo

10 months ago

I believe Amazon Personalize could also be a good option for building ML models.

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Glenna

10 months ago

I agree with Margurite, Amazon SageMaker is a great choice for deploying ML models.

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Margurite

10 months ago

I think the company can use Amazon SageMaker for building ML models.

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