You are developing an application that uses an API pipeline. The application consumes and analyzes streaming data.
You API pipeline must perform face detection and sentiment analysis.
What actions should you take?

A. Use the Computer Vision API in the pipeline.

B. Use the Face API in the pipeline.

C. Use the Text Analytics in the pipeline.

D. Use the Video Indexer in the pipeline.








 

Suggested Answer: D

Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the
Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models described below:
Visual text recognition (OCR): Extracts text that is visually displayed in the video.
Audio transcription: Converts speech to text in 12 languages and allows extensions.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.
Face detection: Detects and groups faces appearing in the video.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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