Correct Answer: Conversational Language Understanding (CLU)
Conversational Language Understanding (CLU) is designed to recognize user intents and extract entities from natural language text. It replaces LUIS (Language Understanding) and is ...
Correct Answer
Conversational Language Understanding (CLU)
Why This Answer Is Correct
Conversational Language Understanding (CLU) is designed to recognize user intents and extract entities from natural language text. It replaces LUIS (Language Understanding) and is the primary tool for processing conversational commands or extracting structured fields from conversational inputs.
This question evaluates your knowledge of Azure AI Language — a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Language is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You want to build a support site where users can ask questions in natural language and receive answers from a company manual PDF. You want to use Azure AI Language Question Answering. What is the first step to create the knowledge source?
You want to analyze a bulk set of product reviews to extract mentions of product features (like battery life or screen size) and determine if customers are speaking positively or negatively about those specific features. Which feature of Azure AI Language should you enable?
You are developing an application that categorizes news articles into predefined topics (e.g., Sports, Politics, Technology). An article can only belong to one topic. Which Azure AI Language feature should you use?
You are migrating a legacy LUIS (Language Understanding) application to Azure AI Language. Which service should you choose as the direct replacement for defining intents and entities?