Text Analytics — Microsoft Azure AI Fundamentals (AI-900) Practice Questions

Text analytics refers to the process of extracting structured information and insights from unstructured text data, encompassing tasks such as sentiment analysis, key phrase extraction, named entity recognition, and language detection. On the AI-900 exam, text analytics capabilities are surfaced through Azure AI Language, and candidates should recognize scenarios where analyzing large volumes of text to surface trends or classify content is the primary goal. Historically, Azure offered a standalone Text Analytics API, which has since been consolidated into Azure AI Language, so exam questions may use either name to refer to the same set of capabilities. Understanding the breadth of tasks covered under text analytics helps candidates select the correct service for a given scenario.

Free questions on text analytics

More text analytics questions in the full bank

• Text Analytics provides which capability? Unlock answer & explanation →
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