AI-102 exam dumps

AI-102 practice question 163 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 163

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You are working for a media company that streams live sports events, and you want to use Azure AI Video Indexer to extract key insights from the live video streams. Your goal is to detect when specific players are mentioned by commentators, recognize their faces, and generate a timeline of detected events. Which combination of features in Azure AI Video Indexer should you configure to achieve these requirements?

  1. A

    Enable speaker indexing to identify when specific players are mentioned by commentators.

  2. B

    Enable face detection and recognition to recognize players' faces in the video.

  3. C

    Enable scene detection to generate a timeline of detected events.

  4. D

    Enable entity detection to identify mentions of player names in the audio.

  5. E

    Enable emotion detection to analyze the emotions of the commentators.

Show answer and explanation

Correct answers: B, D

Explanation

To meet the requirements, you need to configure face detection and recognition to identify players' faces in the video and entity detection to extract mentions of player names from the audio. These features will allow you to detect when specific players are mentioned by commentators and recognize their faces in the live stream. The other options either do not address the requirements or are not relevant to the scenario.

  • A. Incorrect.

    Speaker indexing identifies speakers in audio but does not directly help in identifying mentions of specific players by name. This is not relevant to the scenario.

  • B. Correct.

    Face detection and recognition are needed to automatically recognize players' faces in the video, making it essential for the requirements.

  • C. Incorrect.

    Scene detection identifies changes in scenes but does not generate a timeline of detected events or insights related to players. This is not required in this scenario.

  • D. Correct.

    Entity detection extracts mentions of players' names from the audio and is necessary for detecting when commentators mention specific players.

  • E. Incorrect.

    Emotion detection analyzes emotional tone but does not contribute to recognizing players or their mentions, making it irrelevant in this context.

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