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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 112 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 112
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication.

Which solution meets these requirements?

  • A. Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.
  • B. Create medication review summaries by using Amazon Bedrock large language models (LLMs).
  • C. Create a classification model that categorizes medications into different groups by using Amazon SageMaker.
  • D. Create medication review summaries by using Amazon Rekognition.
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Suggested Answer: B 🗳️
by 26b8fe1 at Dec. 26, 2024, 3:58 p.m.
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Jessiii
2 months, 2 weeks ago
Selected Answer: B
Best suited for summarizing large volumes of text, like user reviews.
upvoted 1 times
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may2021_r
3 months, 4 weeks ago
Selected Answer: B
The correct answer is B. LLMs are specifically designed for text analysis and summarization tasks.
upvoted 1 times
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aws_Tamilan
4 months ago
Selected Answer: B
Using Amazon Bedrock’s large language models (LLMs) is the ideal solution for generating concise summaries of user reviews of new medications.
upvoted 1 times
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26b8fe1
4 months ago
Selected Answer: B
Create medication review summaries by using Amazon Bedrock large language models (LLMs). Amazon Bedrock LLMs are designed for natural language processing tasks, including text summarization. They can effectively generate concise and coherent summaries from the text, making them ideal for summarizing user reviews of medications.
upvoted 1 times
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