AI-900: QnA Maker Unveiled: Navigating Azure SQL Integration, Knowledge Consistency, and User Intent Recognition

Explore the capabilities of QnA Maker through a comprehensive analysis of true or false statements. From querying Azure SQL databases to maintaining knowledge consistency and determining user intent, unlock the potential of QnA Maker for enhanced user interactions. Elevate your understanding of this dynamic tool for intelligent question and answer systems.

Question

HOTSPOT (Drag & Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Statement 1: You can use QnA Maker to query an Azure SQL database.
Statement 2: You should use QnA Maker when you want a knowledge base to provide the same answer to different users who submit similar questions.
Statement 3: The QnA Maker service can determine the intent of a user utterance.

Answer

Statement 1: You can use QnA Maker to query an Azure SQL database: No
Statement 2: You should use QnA Maker when you want a knowledge base to provide the same answer to different users who submit similar questions: Yes
Statement 3: The QnA Maker service can determine the intent of a user utterance: No

Explanation

Statement 1: You can use QnA Maker to query an Azure SQL database. Answer: No. QnA Maker cannot query an Azure SQL database directly. QnA Maker can only extract question-answer pairs from semi-structured content, such as FAQ pages, support websites, excel files, SharePoint documents, product manuals, and policies. To query an Azure SQL database, you need to use a different service, such as Azure Cognitive Search or Azure Bot Service.

Statement 2: You should use QnA Maker when you want a knowledge base to provide the same answer to different users who submit similar questions. Answer: Yes. QnA Maker is designed to provide the same answer to a request, question, or command, regardless of who submits it. QnA Maker uses natural language processing (NLP) to match the user’s input with the most relevant answer from the knowledge base. QnA Maker also supports synonyms, multi-turn conversations, and active learning to improve the accuracy and relevance of the answers.

Statement 3: The QnA Maker service can determine the intent of a user utterance. Answer: No. QnA Maker does not perform intent recognition on the user’s input. QnA Maker only tries to find the best matching answer from the knowledge base based on the input text. To perform intent recognition, you need to use a different service, such as Azure Language Understanding (LUIS) or Azure Bot Service. Intent recognition is the process of identifying the goal or purpose of the user’s utterance, such as booking a flight, ordering a pizza, or checking the weather.

Reference

• Microsoft Learn > Azure > Cognitive Services > QnA Maker > Importing from data sources
• Microsoft Learn > Azure > Cognitive Services > Language Understanding (LUIS) > Use Cognitive Services with natural language processing (NLP) to enrich chat bot conversations

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