You want to ensure that your chatbot can respond to user queries in situations where there is a grammar or spelling mistake. You also want to utilize the existing knowledge database to answer user queries through your chatbot. Based on the user intention, you can get an answer to the user query by finding a suitable answer from your knowledge database. 
Given the scenario above, which Azure services would you integrate into your chatbot?

Answer options:

A.Translator
B.QnA Maker
C.Text Analytics
D.Speech
E.LUIS

Correct Answers: B and E
Option A is incorrect because the requirement is not to translate the text received from the user input.
Option B is correct because QnA Maker would provide answers to queries based on the custom knowledge base.
Option C is incorrect because the requirement is not to mine the text or analyze the sentiment.
Option D is incorrect because speech service is aimed at converting text to speech or speech to text. In this scenario, speech service is not required.
Option E is correct because LUIS or language understanding would understand the intent of the user and will provide location in the knowledge base that QnA make will utilize to answer user queries. 
Reference:
To learn more about using QnA Maker and LUIS in chatbot, use the link given below: 

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service