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AI-102 Practice Question: Implement natural language processing solutions

A company is implementing a question-answering system using Azure AI Language Service. They have a set of FAQ documents in PDF format. Which feature should they use to automatically generate question-answer pairs?

⚠ Common exam trap

It's easy for candidates to confuse Custom Question Answering with Conversational Language Understanding (CLU), but CLU is for intent classification and entity extraction in dialog flows, not for automatic QnA pair generation from documents.

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

Custom Question Answering

Custom Question Answering (C) is the correct feature because it is specifically designed to ingest semi-structured content like FAQ PDFs and automatically generate question-answer pairs. It uses a built-in extraction pipeline that parses the document structure (e.g., headings, bullet points) to identify likely questions and their corresponding answers, which can then be reviewed and refined in the Azure Language Studio portal.

Answer analysis

Option-by-option breakdown

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

  • Key Phrase Extraction

    Why it's wrong here

    Key Phrase Extraction extracts phrases, not Q&A pairs.

  • Extractive Summarization

    Why it's wrong here

    Summarization does not generate Q&A pairs.

  • Custom Question Answering

    Why this is correct

    Custom Question Answering can ingest FAQs and generate Q&A pairs.

  • Conversational Language Understanding

    Why it's wrong here

    CLU is for intent and entity extraction.

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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.