A public photo-upload portal for a community art contest must flag inappropriate images before they appear on the city website. Which AWS service analyzes images for that moderation purpose?
Select an answer to reveal the explanation.
Short Explanation
Rekognition is the bouncer at the door for pictures — it looks at the upload and can call out unsafe content before the gallery goes live. QuickSight counts charts, SNS rings the phone, and CloudFront speeds delivery; none of them inspect image content for moderation.
Full Explanation
A public photo-upload portal for a community art contest that must flag inappropriate images before they appear on the city website should use Amazon Rekognition to detect inappropriate or unsafe image content. Rekognition analyzes images (and video) for labels, faces, and moderation-related insights so civic galleries can automate first-pass screening before publishing resident uploads. That is the Cloud Practitioner identify answer for image moderation use cases.
Amazon QuickSight charts how many uploads arrived; counting is not content moderation. Amazon SNS can email staff that a new file landed; notification is not visual analysis. Amazon CloudFront caches already-approved gallery pages at the edge for performance; CDN caching does not inspect image safety. Operations and delivery tools do not replace computer-vision moderation.
Exam caveat: Rekognition covers vision tasks (labels, faces, celebrity recognition, moderation). Macie is for sensitive data discovery in S3 (often text/PII-focused), not general image NSFW moderation. Keep vision versus text-analytics services distinct.
Operational check for the art portal: invoke Rekognition moderation on upload (for example via Lambda on S3 events), quarantine flagged objects pending human review, tune thresholds to balance over-blocking versus risk, log decisions for appeals, keep Block Public Access on raw buckets, and only promote approved art to the public CloudFront/S3 origin after review.