AI-102 Practice Question: Implement natural language processing solutions
You need to summarize a large document using Azure AI Language. Which feature should you use?
⚠ Common exam trap
Many exam-takers confuse key phrase extraction with summarization, thinking that extracting important phrases is equivalent to summarizing the document, but key phrase extraction lacks the narrative structure and coherence of a true summary.
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
✓
Document summarization
Document summarization is the correct feature because it is specifically designed to generate concise summaries of large documents, extracting the most important information. Azure AI Language's document summarization uses extractive or abstractive techniques to produce a summary, directly addressing the requirement to summarize a large document.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Document summarization
Why this is correct
Document summarization provides a concise summary of the document.
- ✗
Key phrase extraction
Why it's wrong here
Key phrase extraction extracts key phrases, not a summary.
- ✗
Entity recognition
Why it's wrong here
Entity recognition identifies named entities.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis determines the sentiment of the text.
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JA
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.