What should you integrate into the chatbot?

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 language model automatically

What should you integrate into the chatbot?
A . QnA Maker, Language Understanding, and Dispatch
B . Translator, Speech, and Dispatch
C . Language Understanding, Text Analytics, and QnA Maker
D . Text Analytics, Translator, and Dispatch

View Answer

Answer: C

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.

Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview