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Implement natural language processing solutionseasyMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

Your company uses Azure AI Language to analyze customer feedback. You need to extract key phrases from reviews in multiple languages. Which feature should you use?

⚠ Common exam trap

Test-takers frequently confuse key phrase extraction with named entity recognition, assuming that extracting important names or places is the same as extracting key topics, but NER focuses on specific entity types while key phrase extraction captures broader, contextually important phrases.

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

Key phrase extraction is the correct feature because it is specifically designed to identify and extract the most important points or topics from text, regardless of the language. Azure AI Language's key phrase extraction supports multiple languages and returns a list of key phrases that represent the main subjects discussed in the customer feedback, which directly meets the requirement.

Answer analysis

Option-by-option breakdown

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

  • Named entity recognition

    Why it's wrong here

    NER identifies entities like people and organizations.

  • Language detection

    Why it's wrong here

    Language detection identifies the language of the text.

  • Key phrase extraction

    Why this is correct

    Key phrase extraction extracts the main concepts from text.

  • Sentiment analysis

    Why it's wrong here

    Sentiment analysis detects sentiment, not key phrases.

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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.