Microsoft Azure AI Fundamentals AI-900 Practice Question

Knowledge Mining - This is the correct answer. Knowledge mining is the AI workload best suited for extracting insights from large collections of unstructured data like documents, emails, and media files. It involves discovering hidden patterns, relationships, and insights within unstructured data using techniques such as text extraction, entity recognition, and document classification.

Computer Vision - Computer vision is used for analyzing and processing visual data such as images and videos, but it is not focused on extracting insights from unstructured text-based data like documents and emails.

Natural Language Processing (NLP) - While NLP is important for processing and understanding text data, knowledge mining encompasses broader AI techniques that include NLP and other methods for discovering insights from large, unstructured datasets, making it more suitable for the task.

Content Personalization - Content personalization focuses on tailoring content or recommendations based on individual preferences, rather than extracting insights from large collections of unstructured data.