You need to build a chatbot that meets the following requirements: - Supports chit-chat, knowledge base, and multilingual models - Performs sentiment analysis on user messages - Selects the best…

Question

Options

• AQnA Maker, Language Understanding, and Dispatch
• BTranslator, Speech, and Dispatch
• CLanguage Understanding, Text Analytics, and QnA Maker
• DText Analytics, Translator, and Dispatch

• A
  6% (1)
• B
  12% (2)
• C
  76% (13)
• D
  6% (1)

Explanation

Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language. QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information. Text Analytics: Mine insights in unstructured text using natural language processing (NLP)--no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input. Incorrect Answers: A, B, D: Dispatch uses sample utterances for each of your bot's different tasks (LUIS, QnA Maker, or custom), and builds a model that can be used to properly route your user's request to the right task, even across multiple bots. https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview

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