Exam AI-102 topic 2 question 10 discussion

A seems the correct answer https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-person-model-overview

B. Create person objects and provide face images for each object Why B is the best choice: Person objects and their face images are what enable face recognition and video search in practice. Without creating person objects and supplying reference face images, the person model (Option A) remains empty and cannot recognize anyone. Azure Video Indexer automatically creates a default person model if you don’t create a custom one—so the system can still function with just person objects and faces Why not A? Structural container (optional if you use the default). So, while Option A sets the structure, Option B does the real work of enabling searchable face-based indexing in videos. Choose B as the best single answer

I say this answer is A.

A is right.

You can use a Person model to index your new video by assigning the Person model during the upload of the video. You can use a Person model to index your new video by assigning the Person model during the upload of the video. https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-person-model-with-website

Customers can build custom Person models and enable Azure AI Video Indexer to recognize faces that aren't recognized by default. Customers can build these Person models by pairing a person's name with image files of the person's face. You can use the default model if you like but the point is to add persons and their associated image files to the model : https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-person-model-with-website.

Same as Question 1. https://www.examtopics.com/discussions/microsoft/view/55438-exam-ai-102-topic-2-question-1-discussion

A is the answer. https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-person-model-overview Azure Video Indexer supports celebrity recognition in your videos. The celebrity recognition feature covers approximately one million faces based on commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that are not recognized by Azure Video Indexer are still detected but are left unnamed. Customers can build custom Person models and enable Azure Video Indexer to recognize faces that are not recognized by default. Customers can build these Person models by pairing a person's name with image files of the person's face.

Should be A

seems right https://docs.microsoft.com/en-us/azure/azure-video-indexer/customize-person-model-with-website