Microsoft Azure AI Fundamentals (AI-900)Describe features of Natural Language Processing (NLP) workloads on AzureHard
A multinational e-commerce platform wants to ensure that all product reviews, regardless of the language they are written in, can be understood by their global support team. The system needs to automatically detect the language of each review and then translate it into English for the support agents. Which two Azure AI NLP capabilities should be used in combination to achieve this goal?
- AText Summarization and Key Phrase Extraction
- BLanguage Detection and Azure Translator
- CNamed Entity Recognition (NER) and Sentiment Analysis
- DLanguage Understanding (LUIS) and Text Generation
Show answer & explanationAnswer & explanation
Correct answer: B. Language Detection and Azure Translator
The scenario requires two distinct steps: first, identifying the language of the input text, and second, translating that text into a target language. Azure AI Language Detection performs the first step, and Azure Translator performs the second, making them the ideal combination.
Why the other options are wrong
- A. These tools process text but do not detect language or translate it.
- C. These tools extract specific entities and determine emotional tone, neither of which involves language detection or translation.
- D. LUIS understands intent and entities, and Text Generation creates new text; neither performs language detection nor translation.
Language Detection & Azure Translator
Language Detection identifies the natural language of a text, while Azure Translator provides machine translation services to convert text from one language to another.
- Language Detection identifies over 120 languages.
- Azure Translator supports over 100 languages for translation.
- Often used together for multilingual content processing.
Memory trick: Detect the tongue, then Translate the words.