GCP Professional Cloud Architect Practice Question
Your media platform lets users attach 30-second video clips to product reviews. Before the clip is published, you must automatically detect adult or violent scenes so they can be blocked or queued for human moderation. The engineering team has no ML expertise and wants a fully managed, pre-trained service that can be invoked from Cloud Functions with a single REST call. Which Google Cloud AI API best fulfills this requirement?
Integrate Vertex AI Conversation Agent Builder to review the videos through a chatbot workflow.
Use Video Intelligence API to run explicit-content detection on the uploaded clips.
Transcribe the audio track with Speech-to-Text API and analyze the text with Cloud Natural Language API.
Extract a thumbnail from each clip and send it to Vision API SafeSearch detection.
The Video Intelligence API is a pre-trained service designed specifically for analyzing video content. Its SafeSearch explicit-content detection feature automatically labels frames that contain adult, violent, or racy material and returns timestamps for each match. It requires no model training and is exposed through a single REST/ gRPC endpoint that can be called from Cloud Functions or any other client. Vision API SafeSearch performs similar classification but only on static images, not continuous video streams. Cloud Natural Language analyzes text, and Agent Builder is for building conversational agents; neither meets the need to inspect video frames for unsafe imagery.
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What is Google Video Intelligence API?
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How is Vision API different from Video Intelligence API?
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Why can't Speech-to-Text or Natural Language APIs be used for video moderation?
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What is the Video Intelligence API?
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How does explicit-content detection in Video Intelligence API work?
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Why doesn’t Vision API or another service fit this use case?
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GCP Professional Cloud Architect
Managing and provisioning a solution infrastructure
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