Helping Hand Questions for AI-900

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification, , , , ]

[Reference:, https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0, , , , ]

[Reference:, https://docs.microsoft.com/en-gb/azure/cognitive-services/qnamaker/concepts/data-sources-and-content, , https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service, , , QnA maker conversational AI service and has nothing to do with SQL database, You can easily create a user support bot solution on Microsoft Azure using a combination of two core technologies:, - QnA Maker. This cognitive service enables you to create and publish a knowledge base with built-in natural language processing capabilities., - Azure Bot Service. This service provides a framework for developing, publishing, and managing bots on Azure., https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/2-get-started-qna-bot, LUIS is used to understand user intent from utterances., Creating a language understanding application with Language Understanding consists of two main tasks. First you must define entities, intents, and utterances with which to train the language model - referred to as authoring the model. Then you must publish the model so that client applications can use it for intent and entity prediction based on user input., https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service, , ]