AI-102_module-6

You are developing a chatbot for a customer support portal, and you want to create a knowledge base to answer frequently asked questions. What Azure service should you use for building and managing this knowledge base?

• a. Azure Logic Apps

• b. Azure QnA Maker

• c. Azure LUIS (Language Understanding)

• d. Azure Bot Service

Your team has created a comprehensive knowledge base for a travel booking platform, and now you need to make it available for integration into your chatbot. What step should you take to expose the knowledge base to your bot?

• a. Publish the knowledge base

• b. Train the chatbot

• c. Use Azure Logic Apps

• d. Create intents in LUIS

You are building a chatbot for a healthcare provider and need to understand user intents and entities in a healthcare context. Which Azure service is more suitable for this task?

• a. Azure QnA Maker

• b. Azure LUIS (Language Understanding)

• c. Azure Cognitive Services

• d. Azure Text Analytics

Your organization is developing a chatbot for a car rental service and wants to answer both frequently asked questions and provide conversational assistance. What Azure service is designed for the conversational aspect?

• a. Azure QnA Maker

• b. Azure LUIS (Language Understanding)

• c. Azure Cognitive Services

• d. Azure Text Analytics

Users of your travel booking chatbot often engage in multi-turn conversations where they ask follow-up questions related to flight bookings. What term describes this capability in a chatbot?

• a. Multi-skill conversation

• b. Multi-turn conversation

• c. Multi-language conversation

• d. Multi-platform conversation

Your chatbot needs to understand user questions that may have multiple phrasings and synonyms, such as "book a flight" or "reserve an airline ticket." What technique should you employ to handle these variations?

• a. Intent recognition

• b. Entity extraction

• c. Synonym-based QnA making

• d. Sentiment analysis

Your organization is planning to implement Azure AI services to enhance customer interactions and automate processes. What is the primary goal of using Azure AI services in this context?

• a. Minimizing customer interactions

• b. Maximizing operational costs

• c. Improving efficiency and customer experience

• 
  d. Reducing employee workload

Your organization's chatbot needs to handle user queries about product specifications, which may use implicit terms like "specs" or "details." What type of QnA making technique should you employ to capture these implicit queries?

• a. Explicit QnA making

• b. Synonym-based QnA making

• c. Entity recognition

• d. Sentiment analysis

You want to create a QnA model for a cooking assistant chatbot. Users might ask questions using various terms like "recipe," "cooking method," or "dish preparation." What technique should you use to ensure the chatbot understands these synonyms?

• a. Intent recognition

• b. Entity extraction

• c. Synonym-based QnA making

• d. Language translation

You are developing a chatbot for a customer support portal, and you want to ensure that users can get answers to their queries even if they don't use explicit keywords like "help" or "assistance." What type of QnA Maker approach should you employ to handle these implicit queries effectively?

• a. Explicit QnA Maker

• b. Synonym-based QnA Maker

• c. Intent recognition

• d. Implicit QnA Maker