According to the Microsoft Azure AI Fundamentals (AI-900) syllabus and Microsoft Learn module "Describe features of natural language processing (NLP) workloads on Azure," translation is a core NLP workload that converts text from one language into another while maintaining meaning and context.
In this scenario, the website stores reviews in English and must present them in the user's native language based on geographical location. This directly requires a translation workload, which uses Azure Cognitive Services - specifically, the Translator service - to automatically translate content dynamically for each user.
Other options explained:
* B. Language modeling involves predicting the next word in a sentence or understanding linguistic patterns; it's used in model training, not translation.
* C. Key phrase extraction identifies main ideas in text, not language conversion.
* D. Speech recognition converts spoken words into written text but does not perform translation or handle geographic adaptation.
Microsoft's Translator service supports real-time text translation, multi-language detection, and context preservation, making it ideal for global websites. The AI-900 study guide emphasizes translation as one of the most common NLP workloads, enabling applications to break language barriers and enhance accessibility for diverse audiences.
Therefore, based on official Microsoft Learn material, the correct answer is:
# A. translation.