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Amazon Exam AIF-C01 Topic 4 Question 2 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 2
Topic #: 4
[All AIF-C01 Questions]

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.

Which action must the company take to use the custom model through Amazon Bedrock?

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Suggested Answer: B

by Blair at Sep 10, 2024, 09:00 PM

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Han
5 days ago
Wait, I thought Amazon Bedrock was a new superhero team. I'm so confused right now. Anyway, I'm guessing C is the right answer. Register that model, baby!
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Alida
6 days ago
Haha, did they really think they could just buy 'Provisioned Throughput' and call it a day? That's like trying to power a rocket with a hamster on a wheel. Option B all the way!
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Shawnda
9 days ago
I'm going with D. Granting access to the custom model in Amazon Bedrock is the crucial step, right? I mean, that's where the magic happens.
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Myra
14 days ago
Definitely option C. Gotta get that custom model registered with the SageMaker Model Registry, that's the key step here.
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Rosio
17 days ago
I think granting access to the custom model in Amazon Bedrock is also important for integration with the company's existing systems.
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Rosio
20 days ago
That's a good point, Carli. Maybe both deploying in an endpoint and registering the model are needed.
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Carli
27 days ago
But wouldn't registering the model with the Amazon SageMaker Model Registry also be necessary for tracking and versioning?
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Artie
27 days ago
Hmm, I'm not sure. Registering the model with the Amazon SageMaker Model Registry seems like it could be the right answer, but I'm not 100% certain.
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Rosio
28 days ago
I agree with Rosio, deploying the custom model in an endpoint makes sense for real-time use.
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Floyd
1 months ago
I think option B is the way to go. Deploying the custom model in an Amazon SageMaker endpoint for real-time inference seems like the logical choice here.
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Pansy
8 days ago
B) Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
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Rosio
1 months ago
I think the company should deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
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