Drag and Drop Question You have a chatbot that uses the Azure AI Language custom question answering service. The model used by the service was trained by using an internal support FAQ document. You di

Submitted by suresh_in· Mar 30, 2026Build natural language processing solutions using Azure AI Language services, specifically improving knowledge base accuracy through active learning in the custom question answering feature (maps to AI-102 exam objective: Implement knowledge mining and document intelligence solutions / NLP solutions)

Question

Drag and Drop Question You have a chatbot that uses the Azure AI Language custom question answering service. The model used by the service was trained by using an internal support FAQ document. You discover that the chatbot fails to provide correct answers to common questions. You need to increase the accuracy of the responses provided by the chatbot. The solution must minimize development effort. Which three actions should you perform in sequence from Language Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:

Exhibit

Options

1Enable active learning.
2Open the Review suggestions pane.
3Review and accept the alternative phrases.

Explanation

The correct sequence is: (1) Enable active learning, (2) Open the Review suggestions pane, (3) Review and accept the alternative phrases. Active learning must first be enabled so the service can analyze real user queries and generate suggested alternative phrasings for existing question-answer pairs. Once enabled and traffic has been processed, the Review Suggestions pane surfaces these AI-generated alternatives, and the final step is to accept the relevant suggestions, which enriches the knowledge base with more natural language variations - improving answer accuracy with minimal development effort and no need to manually retrain or rebuild the model.

Topics

#Azure AI Language#Custom Question Answering#Active Learning#Language Studio

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