Topic 1 Question 239

AWS Certified Machine Learning - Specialty

Topic 1 Question 239
An engraving company wants to automate its quality control process for plaques. The company performs the process before mailing each customized plaque to a customer. The company has created an Amazon S3 bucket that contains images of defects that should cause a plaque to be rejected. Low-confidence predictions must be sent to an internal team of reviewers who are using Amazon Augmented AI (Amazon A2I).

Which solution will meet these requirements?
- Use Amazon Textract for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
- Use Amazon Rekognition for automatic processing. Use Amazon A2I with a private workforce option for manual review.
- Use Amazon Transcribe for automatic processing. Use Amazon A2I with a private workforce option for manual review.
- Use AWS Panorama for automatic processing. Use Amazon A2I with Amazon Mechanical Turk for manual review.
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コメント(3)
- 正解だと思う選択肢: B
  Keywords are image processing and internal users for review.
  
  👍 3
  SandeepGun2023/06/17
- 正解だと思う選択肢: B
  Amazon Rekognition is a service that can be used to detect objects, faces, and text in images. Amazon A2I is a service that can be used to automate manual tasks, such as reviewing images for defects. The private workforce option for Amazon A2I allows the engraving company to create a custom workforce of reviewers who are familiar with the types of defects that should cause a plaque to be rejected.
  
  👍 3
  Mickey3212023/08/22
- 正解だと思う選択肢: B
  Amazon Rekognition is an image and video analysis service that can detect objects, scenes, and faces in images. The company can use Amazon Rekognition to automatically process images of plaques and identify defects that should cause a plaque to be rejected. Low-confidence predictions can be sent to an internal team of reviewers who are using Amazon A2I with a private workforce option for manual review. This will ensure that the plaques are thoroughly checked before being mailed to customers A is not suitable because Amazon Textract is a service that extracts text and data from scanned documents. It is not designed for image analysis.
  
  C is also not suitable because Amazon Transcribe is a service that converts speech to text. It is not designed for image analysis.
  
  D is not suitable because AWS Panorama is a computer vision service that runs on cameras and other edge devices. It is not designed for analyzing images stored in an S3 bucket
  
  👍 2
  teka1122332023/09/16
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