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AI-103 Text Analysis Practice Question

You need to extract key concepts from customer feedback. Which TWO characteristics describe key phrase extraction in Azure AI Language? (Choose two.)

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

It works well on unstructured text documents.

Key phrase extraction identifies main concepts, works on unstructured text, and returns a list of strings without requiring pre-defined taxonomies.

Answer analysis

Option-by-option breakdown

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

  • It evaluates the emotional tone of sentences.

    Why it's wrong here

    Emotional evaluation is performed by sentiment analysis.

  • It requires a pre-defined taxonomy of thousands of categories.

    Why it's wrong here

    Key phrase extraction does not require pre-defined taxonomies or training.

  • It works well on unstructured text documents.

    Why this is correct

    It is designed to process unstructured text documents effectively.

  • It returns a list of strings denoting the main talking points.

    Why this is correct

    It extracts salient terms and phrases as strings.

  • It automatically translates documents into English.

    Why it's wrong here

    Translation is performed by Azure AI Translator.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-103 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-103 exam.