Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are designing an Azure-based solution that processes incoming customer support emails. The application must automatically detect the email's language, determine sentiment, extract named entities, generate an extractive summary, and route the message by using a custom multi-label text classification model. You prefer to accomplish all these natural language processing tasks with a single Azure service that exposes REST APIs and SDKs. Which Azure service should you choose?
Azure AI Language (formerly the Cognitive Service for Language) offers built-in capabilities for language detection, sentiment analysis, entity recognition, and extractive summarization. It also allows you to train and deploy custom multi-label text classification models, so all of the required tasks can be performed by one service. Azure AI Document Intelligence focuses on extracting structured data from documents, not general NLP. Azure AI Speech targets speech-to-text and related audio scenarios. Azure OpenAI Service provides powerful generative models but is not optimized for turnkey sentiment analysis, language detection, or custom text classification workflows that the Language service supplies out of the box.
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Microsoft Azure AI Engineer Associate AI-102
Plan and manage an Azure AI solution
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