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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?
A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information. Which action will reduce these risks?
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A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources. Which solution will meet this requirement?
A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output. Which ML algorithm meets these requirements?
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which strategy will successfully fine-tune the model?
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data. How should the AI practitioner prevent responses based on confidential data?

Question 8 - AIF-C01 discussion

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A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.

What should the company do to meet these requirements?

A.
Evaluate the models by using built-in prompt datasets.
Answers
A.
Evaluate the models by using built-in prompt datasets.
B.
Evaluate the models by using a human workforce and custom prompt datasets.
Answers
B.
Evaluate the models by using a human workforce and custom prompt datasets.
C.
Use public model leaderboards to identify the model.
Answers
C.
Use public model leaderboards to identify the model.
D.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Answers
D.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Suggested answer: B
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asked 16/09/2024
Ellee Chen
40 questions
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