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MLS-C01 · Question #351

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…

The correct answer is D. Use Amazon Textract to detect and extract the required text and fields. Use Amazon. For automated document processing, extracting text from fields, and classifying documents with minimal operational effort, a solution combining Amazon Textract for OCR and data extraction and Amazon Comprehend for document classification is most suitable.

ML Implementation and Operations

Question

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?

Options

  • AUse a PaddleOCR model in Amazon SageMaker to detect and extract the required text and
  • BUse a PaddleOCR model in Amazon SageMaker to detect and extract the required text and
  • CUse Amazon Textract to detect and extract the required text and fields. Use Amazon Rekognition
  • DUse Amazon Textract to detect and extract the required text and fields. Use Amazon

How the community answered

(27 responses)
  • A
    4% (1)
  • B
    11% (3)
  • C
    4% (1)
  • D
    81% (22)

Why each option

For automated document processing, extracting text from fields, and classifying documents with minimal operational effort, a solution combining Amazon Textract for OCR and data extraction and Amazon Comprehend for document classification is most suitable.

AUse a PaddleOCR model in Amazon SageMaker to detect and extract the required text and

Using a PaddleOCR model in Amazon SageMaker requires significant operational effort to deploy, manage, and scale the custom model and its underlying infrastructure, which goes against the requirement for low maintenance.

BUse a PaddleOCR model in Amazon SageMaker to detect and extract the required text and

Using a PaddleOCR model in Amazon SageMaker requires significant operational effort to deploy, manage, and scale the custom model and its underlying infrastructure, failing the low maintenance requirement.

CUse Amazon Textract to detect and extract the required text and fields. Use Amazon Rekognition

While Amazon Textract can extract text, Amazon Rekognition is primarily used for image and video analysis (e.g., object detection, facial recognition) and is not the appropriate service for classifying documents based on their textual content or extracting specific fields.

DUse Amazon Textract to detect and extract the required text and fields. Use AmazonCorrect

Amazon Textract is a fully managed service that automatically extracts text, handwriting, and data from scanned documents, including specific fields, which directly addresses the OCR and data extraction requirement for PDF and JPG documents. Amazon Comprehend is a natural language processing (NLP) service that can be used to build custom document classifiers, providing a low-maintenance solution for classifying the extracted text.

Concept tested: Managed document processing and classification services

Source: https://aws.amazon.com/textract/

Topics

#Document Processing#OCR#NLP#Managed Services

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