- A
Azure AI Document Intelligence
Why wrong: Document Intelligence extracts data from forms and documents, not summarization.
- B
Azure AI Language - Key Phrase Extraction
Why wrong: Key phrase extraction extracts important phrases, not a coherent summary.
- C
Azure AI Language - Extractive Summarization
Extractive summarization picks key sentences to form a summary.
- D
Azure AI Translator
Why wrong: Translator is for language translation, not summarization.
Question 378 of 993
AI-102 Practice Question: Implement natural language processing solutions
This AI-102 practice question tests your understanding of implement natural language processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A news organization wants to automatically summarize long articles into short, coherent summaries. The solution must preserve the original meaning and key points. Which Azure AI service should be used?
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
✓
Azure AI Language - Extractive Summarization
Option C is correct because Azure AI Language's Extractive Summarization is specifically designed to generate concise summaries by extracting the most important sentences from a document while preserving the original meaning and key points. This service uses natural language processing to rank sentences based on relevance and coherence, making it ideal for summarizing long articles without altering the original content.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence extracts data from forms and documents, not summarization.
- ✗
Azure AI Language - Key Phrase Extraction
Why it's wrong here
Key phrase extraction extracts important phrases, not a coherent summary.
- ✓
Azure AI Language - Extractive Summarization
Why this is correct
Extractive summarization picks key sentences to form a summary.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Translator
Why it's wrong here
Translator is for language translation, not summarization.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Key Phrase Extraction (Option B) with summarization, but Key Phrase Extraction only returns isolated terms, not a coherent summary, whereas Extractive Summarization returns full sentences that preserve meaning.
Trap categories for this question
Keyword trap
Key phrase extraction extracts important phrases, not a coherent summary.
Detailed technical explanation
How to think about this question
Extractive Summarization works by analyzing the input text using transformer-based models (e.g., BERT) to compute sentence embeddings and rank them by salience, often employing techniques like TextRank or neural attention. The service returns the top-ranked sentences in their original order, ensuring the summary retains the document's logical flow. In real-world scenarios, this is critical for news organizations that need to generate digestible summaries for mobile feeds while maintaining factual accuracy.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure AI Language - Extractive Summarization — Option C is correct because Azure AI Language's Extractive Summarization is specifically designed to generate concise summaries by extracting the most important sentences from a document while preserving the original meaning and key points. This service uses natural language processing to rank sentences based on relevance and coherence, making it ideal for summarizing long articles without altering the original content.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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