Explanation:
The most suitable service for detecting inappropriate content in images is Amazon Rekognition because it is specifically designed for image and video analysis, including detecting inappropriate content. It offers pre-built functionality for detecting explicit content, which minimizes development effort compared to building and training custom models. Incorporating human review for low-confidence predictions ensures accuracy. Thus, the correct answer is B.
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As a solutions architect, how would you implement a minimal-effort solution to prevent inappropriate content in user-uploaded images on a social media website?
A
Leverage Amazon Comprehend for content detection and employ human review for uncertain cases.
B
Utilize Amazon Rekognition for identifying inappropriate content and incorporate human review for doubtful instances.
C
Deploy Amazon SageMaker to analyze content, with ground truth labeling for ambiguous predictions.
D
Implement a custom machine learning model on AWS Fargate, using ground truth for low-confidence detection.
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