Azure AI Fundamentals - AI - 900

You are developing a natural language processing solution in Azure for following use case: The solution should analyze customer reviews and determine how positive or negative each review is This is an example of which type of natural language processing workload?

The correct answer is sentiment analysis.
This is because sentiment analysis is used to determine whether the sentiment expressed in a piece of text (such as a customer review) is positive, negative, or neutral. It is a common use case in natural language processing for analyzing opinions and emotions in text.

AI-900 Exam Q&A - Azure AI Fundamentals

Prepare for success with our comprehensive AI-900 Exam Q&A, designed specifically for Azure AI Fundamentals. This resource provides in-depth coverage of all essential topics including artificial intelligence (AI) concepts, Azure AI services, and solutions. Our detailed questions and answers focus on core areas such as machine learning, natural language processing, and computer vision, aligning with the latest exam objectives. Whether you're a beginner or an IT professional seeking to validate your AI knowledge, our AI-900 exam preparation material ensures you grasp key concepts and terminology related to Azure AI. Achieve your certification goals with confidence and stay ahead in the rapidly evolving field of AI.

Azure AI Fundamentals
Azure AI Fundamentals