Microsoft Azure AI Fundamentals AI-900 Practice Question
A company wants to implement natural language processing features such as key phrase extraction, entity recognition, and sentiment analysis in multiple languages. They prefer to use a service that offers pre-built models and can be accessed via REST APIs without needing to manage infrastructure or train models.
The Azure AI Language service provides pre-built natural language processing (NLP) capabilities such as key phrase extraction, entity recognition, and sentiment analysis. It supports multiple languages and can be easily integrated into applications via REST APIs. Since it offers pre-trained models, there's no need to manage infrastructure or train models from scratch, meeting the company's requirements.
Azure Cognitive Search focuses on indexing and searching content, not providing comprehensive NLP features.
Azure Machine Learning requires building and training custom models, which the company wants to avoid.
Azure AI Speech service handles speech recognition and synthesis, not text-based NLP tasks.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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