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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 56 - AIF-C01 discussion

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A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers.

Which solution will meet these requirements?

A.
Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
Answers
A.
Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.
B.
Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.
Answers
B.
Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.
C.
Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.
Answers
C.
Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.
D.
Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.
Answers
D.
Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.
Suggested answer: A
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asked 16/09/2024
Prabith Balagopalan
37 questions
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