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Implement natural language processing solutionseasyMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

A financial services company uses Azure AI Language to analyze customer support transcripts. They want to identify the main topics discussed in each conversation and generate a summary of the key points. The solution must minimize development effort and use prebuilt functionality. You need to recommend the appropriate Azure AI Language features. What should you use?

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

Key phrase extraction and conversation summarization.

Conversation summarization is a prebuilt feature that generates summaries of conversations, and key phrase extraction identifies main topics. Both are available in Azure AI Language without custom training. Option B correctly combines these two features to identify main topics and generate a summary. Option A is wrong because custom NER requires custom labeling and is not necessary for identifying main topics. Option C is wrong because entity linking is not used for summarization or topic identification. Option D is wrong because sentiment analysis does not provide summarization or topic extraction.

Answer analysis

Option-by-option breakdown

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

  • Custom Named Entity Recognition (NER) and conversation summarization.

    Why it's wrong here

    Custom NER requires training data and is not necessary for general topic identification.

  • Key phrase extraction and conversation summarization.

    Why this is correct

    Key phrase extraction identifies topics, and conversation summarization generates summaries.

  • Entity linking and conversation summarization.

    Why it's wrong here

    Entity linking disambiguates entities to a knowledge base, but does not identify topics.

  • Sentiment analysis and key phrase extraction.

    Why it's wrong here

    Sentiment analysis does not generate summaries; it only detects sentiment.

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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.