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AI-102 Practice Question: Implement natural language processing solutions

A company deploys a custom question answering project in Azure AI Language. Users report that the bot sometimes returns irrelevant answers. The knowledge base contains hundreds of QnA pairs. You need to improve answer relevance without retraining the model. What should you do?

⚠ Common exam trap

Many candidates confuse 'active learning' (a feature for suggesting new questions) with a direct method to improve current answer relevance, when in fact it is a long-term knowledge base enhancement tool that does not immediately affect matching accuracy.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Add alternate phrases to existing QnA pairs for common user queries.

Adding alternate phrases to existing QnA pairs directly improves the bot's ability to match user queries to the correct answer without retraining. In Azure AI Language's custom question answering, the model uses a ranker that compares the user's input against the questions and alternate phrases in the knowledge base. By providing more varied phrasings for common queries, you increase the likelihood of a high-confidence match, thereby reducing irrelevant answers.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Increase the confidence score threshold in the project settings.

    Why it's wrong here

    This may cause many valid queries to be unanswered.

  • Reduce the number of QnA pairs to decrease ambiguity.

    Why it's wrong here

    This may remove valid content and reduce coverage.

  • Add alternate phrases to existing QnA pairs for common user queries.

    Why this is correct

    This improves matching without retraining.

  • Enable active learning to let the bot suggest new questions based on user queries.

    Why it's wrong here

    Active learning requires user feedback over time; it does not immediately improve relevance.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.