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Answer: Utilize Amazon Rekognition for identifying inappropriate content and incorporate human review for doubtful instances.
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.
Author: LeetQuiz Editorial Team
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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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