Microsoft Azure AI Fundamentals AI-900 Practice Question
An environmental research team wants to use AI to automatically identify and track different species of animals in recorded data collected from field sensors.
Which AI workload would be most suitable for this task?
Computer Vision is the appropriate AI workload for analyzing visual data to identify and track objects or patterns within images or video. In this scenario, the team needs to process visual data to recognize different animal species, which is a typical application of Computer Vision.
Natural Language Processing (NLP) deals with understanding and generating human language, which is not relevant here.
Knowledge Mining involves extracting information from large datasets but doesn't specifically handle visual recognition tasks.
Document Intelligence focuses on extracting information from documents, which does not apply to analyzing images or videos.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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