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Exam AI-100 topic 5 question 39 discussion

Actual exam question from Microsoft's AI-100
Question #: 39
Topic #: 5
[All AI-100 Questions]

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.
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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

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rveney
2 years ago
To perform face detection and sentiment analysis in the API pipeline for analyzing streaming data, you should take the following actions: B. Use the Face API in the pipeline: The Face API provides facial detection and analysis capabilities, allowing you to detect faces in images or video frames, extract facial attributes, and perform facial recognition. This will enable you to perform face detection as part of your API pipeline.
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