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A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt. Which consideration will inform the company's decision?
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Question 35 - AIF-C01 discussion

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A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.

Which solution will meet this requirement?

A.
Use Amazon Inspector to monitor SageMaker Studio.
Answers
A.
Use Amazon Inspector to monitor SageMaker Studio.
B.
Use Amazon Macie to monitor SageMaker Studio.
Answers
B.
Use Amazon Macie to monitor SageMaker Studio.
C.
Configure SageMaker to use a VPC with an S3 endpoint.
Answers
C.
Configure SageMaker to use a VPC with an S3 endpoint.
D.
Configure SageMaker to use S3 Glacier Deep Archive.
Answers
D.
Configure SageMaker to use S3 Glacier Deep Archive.
Suggested answer: C
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asked 16/09/2024
Hans Walter Katzengruber
27 questions
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