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Difficulty: MediumAWS Machine Learning Services

An online education platform wants to automatically scan uploaded student profile pictures to identify and flag inappropriate or unsafe content before the images are published. The platform wants to use a pre-trained, fully managed AWS service to achieve this without building custom machine learning models. Which AWS service should the platform use for this capability?

  1. Amazon RekognitionAnswer
  2. B
    Amazon Comprehend
  3. C
    Amazon Polly
  4. D
    Amazon SageMaker

Answer

Amazon Rekognition
The correct answer is Amazon Rekognition. This service provides pre-trained computer vision capabilities that allow developers to automate image and video analysis, including content moderation to flag inappropriate or unsafe images, without needing machine learning expertise or custom model development.

Step-by-Step Solution

1
Analyze the business requirement and data type.
The platform needs to analyze images (profile pictures) to identify unsafe or inappropriate content.
Identifying the target data type (images) filters out machine learning services that only process text or audio.
2
Identify the model training constraint.
The service must be fully managed, pre-trained, and require no custom model building or training.
This rules out Amazon SageMaker, which is designed for building, training, and deploying custom models from scratch.
3
Select the correct managed AWS service for computer vision.
Amazon Rekognition is selected as it offers pre-trained computer vision models, including content moderation for images.
Amazon Rekognition directly fulfills the requirement of analyzing image content using built-in, pre-trained models.

Key Concept

AWS Machine Learning Services categorization and use cases
Estimated Time:1m 0s
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Topics

AWS Machine Learning Services

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