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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 106 discussion

A medical company is using AWS to build a tool to recommend treatments for patients. The company has obtained health records and self-reported textual information in English from patients. The company needs to use this information to gain insight about the patients.

Which solution will meet this requirement with the LEAST development effort?

  • A. Use Amazon SageMaker to build a recurrent neural network (RNN) to summarize the data.
  • B. Use Amazon Comprehend Medical to summarize the data.
  • C. Use Amazon Kendra to create a quick-search tool to query the data.
  • D. Use the Amazon SageMaker Sequence-to-Sequence (seq2seq) algorithm to create a text summary from the data.
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Suggested Answer: B 🗳️

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AgboolaKun
2 weeks, 3 days ago
Selected Answer: B
The correct answer is B: To gain insights from patient health records and self-reported textual information in English, the medical company should use Amazon Comprehend Medical, as it requires the least development effort. This solution is ideal because it's a purpose-built service for medical text analysis that comes pre-trained for healthcare data, can automatically extract medical conditions, medications, and treatments, and is HIPAA eligible. Unlike other options such as building a custom RNN with SageMaker, using Amazon Kendra for search, or implementing a SageMaker seq2seq algorithm, Comprehend Medical requires no ML expertise and provides immediate insights through a ready-to-use API, significantly reducing development time and complexity.
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