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Answer: Create a custom question answering project in Azure AI Language, add question-and-answer pairs manually, import sources, train and test the knowledge base, and publish it.
Option A is the correct approach as it covers all the necessary steps to create a custom question answering solution using Azure AI Language. Adding question-and-answer pairs manually ensures that the knowledge base is tailored to the company's specific needs. Importing sources allows the system to learn from existing product descriptions, and training and testing the knowledge base ensures its accuracy. Finally, publishing the knowledge base makes it accessible to the chatbot.
Author: LeetQuiz Editorial Team
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You are tasked with creating a custom question answering solution for a large e-commerce company that has a vast knowledge base of products and their descriptions. The company wants to provide a chatbot for their customers to answer their queries about products. How would you approach this task using Azure AI Language?
A
Create a custom question answering project in Azure AI Language, add question-and-answer pairs manually, import sources, train and test the knowledge base, and publish it.
B
Use pre-built question answering models available in Azure AI Language and fine-tune them with the company's data.
C
Create a custom question answering project in Azure AI Language, import sources, train and test the knowledge base, and publish it without adding any question-and-answer pairs manually.
D
Use a third-party question answering solution and integrate it with the company's chatbot.