AIF-C01 · Question #99
A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?
The correct answer is B. Create medication review summaries by using Amazon Bedrock large language models (LLMs). Amazon Bedrock provides large language models (LLMs) that are optimized for natural language understanding and text summarization tasks, making it the best choice for creating concise summaries of user reviews. Time-series forecasting, classification, and image analysis…
Question
A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?
Options
- ACreate a time-series forecasting model to analyze the medication reviews by using Amazon
- BCreate medication review summaries by using Amazon Bedrock large language models (LLMs).
- CCreate a classification model that categorizes medications into different groups by using Amazon
- DCreate medication review summaries by using Amazon Rekognition.
How the community answered
(36 responses)- A6% (2)
- B72% (26)
- C6% (2)
- D17% (6)
Explanation
Amazon Bedrock provides large language models (LLMs) that are optimized for natural language understanding and text summarization tasks, making it the best choice for creating concise summaries of user reviews. Time-series forecasting, classification, and image analysis (Rekognition) are not suitable for summarizing textual data.
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