Microsoft Azure AI Engineer Associate AI-102 Practice Question
When preparing Azure AI Video Indexer to analyze new training videos, you must enable automatic identification of employees who appear on camera. The videos are stored in Azure Blob Storage and will be uploaded programmatically for indexing. Which one-time configuration must you complete in Video Indexer before uploading the first video to achieve this goal?
Add the company domain as an allowed origin in the Video Indexer CORS settings.
Create and train a custom person model by uploading reference images of each employee.
Configure a custom brand detection model that includes company logos and products.
Enable automatic speaker name generation in the Video Indexer account settings.
To identify specific individuals who appear in a video, Azure AI Video Indexer relies on a custom person model. Creating this model and populating it with reference images allows the service to match faces detected in the video with known people. Actions such as configuring CORS, brand detection or speaker name generation do not supply the visual reference data required for facial identification, so they cannot fulfil the requirement.
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How do you create and train a custom person model in Azure Video Indexer?
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Why are reference images crucial for facial recognition in Video Indexer?
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Microsoft Azure AI Engineer Associate AI-102
Implement computer vision solutions
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