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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 324 discussion

A global company receives and processes hundreds of documents daily. The documents are in printed .pdf format or .jpg format.

A machine learning (ML) specialist wants to build an automated document processing workflow to extract text from specific fields from the documents and to classify the documents. The ML specialist wants a solution that requires low maintenance.

Which solution will meet these requirements with the LEAST operational effort?

  • A. Use a PaddleOCR model in Amazon SageMaker to detect and extract the required text and fields. Use a SageMaker text classification model to classify the document.
  • B. Use a PaddleOCR model in Amazon SageMaker to detect and extract the required text and fields. Use Amazon Comprehend to classify the document.
  • C. Use Amazon Textract to detect and extract the required text and fields. Use Amazon Rekognition to classify the document.
  • D. Use Amazon Textract to detect and extract the required text and fields. Use Amazon Comprehend to classify the document.
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Suggested Answer: D 🗳️

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vkbajoria
7 months, 1 week ago
Selected Answer: D
Text tract to extracts text comprehend to classify
upvoted 3 times
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AIWave
7 months, 1 week ago
Selected Answer: D
-Amazon Textract automatically extracts text, handwriting, and data from scanned pdf and jpg documents and requires minimal setup and maintenance. - Comprehend can be used for document classification and requires minimum ongoing management
upvoted 2 times
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Peter_Hsieh
7 months, 1 week ago
Selected Answer: D
The most common use cases for Amazon Textract include: - Importing documents and forms into business applications - Creating smart search indexes - Building automated document processing workflows - Maintaining compliance in document archives - Extracting text for Natural Language Processing (NLP) - Extracting text for document classification https://aws.amazon.com/tw/textract/faqs/?nc1=h_ls
upvoted 1 times
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