Quick Answer
The Key Phrase Extraction skill is the correct choice because it is specifically designed to identify and surface the most important terms from unstructured text, directly meeting the need to extract key phrases from documents in a knowledge mining solution. This built-in Azure AI Search skill uses natural language processing to analyze text and return a ranked list of phrases, and it supports multiple languages through language detection, making it ideal for multilingual document sets. On the AI-102 exam, this question tests your ability to match a business requirement to the correct cognitive skill within a skillset, often appearing alongside distractors like Entity Recognition (which extracts named entities, not phrases) or Language Detection (which identifies language but does not extract content). A common trap is confusing key phrases with entities—remember that key phrases capture the main topics or themes, while entities are specific people, places, or organizations. Memory tip: think “Key Phrases = Key Topics” to distinguish it from entity extraction.
This AI-102 practice question tests your understanding of implement knowledge mining and document intelligence 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 company is building a knowledge mining solution using Azure AI Search. They need to extract key phrases from a large set of documents in multiple languages. Which skill should they add to the skillset?
Key Phrase Extraction skill
Key Phrase Extraction is designed to extract key phrases from text.
Sentiment Analysis skill
Why wrong: Sentiment Analysis evaluates sentiment, not key phrases.
Language Detection skill
Why wrong: Language Detection only identifies the language, not key phrases.
Entity Recognition skill
Why wrong: Entity Recognition identifies named entities, not key phrases.
Answer choices
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 skill
The Key Phrase Extraction skill is the correct choice because it is specifically designed to identify and extract the most important phrases from text, which directly supports the requirement to extract key phrases from documents. Azure AI Search's built-in Key Phrase Extraction skill leverages natural language processing to analyze text and return a list of key phrases, making it the appropriate skill for this knowledge mining solution.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Key Phrase Extraction skill
Why this is correct
Key Phrase Extraction is designed to extract key phrases from text.
Related concept
Read the scenario before looking for a memorised answer.
Sentiment Analysis skill
Why it's wrong here
Sentiment Analysis evaluates sentiment, not key phrases.
Language Detection skill
Why it's wrong here
Language Detection only identifies the language, not key phrases.
Entity Recognition skill
Why it's wrong here
Entity Recognition identifies named entities, not key phrases.
Common exam traps
The trap here is that candidates may confuse Entity Recognition (which extracts single-word entities like 'Microsoft') with Key Phrase Extraction (which extracts multi-word phrases like 'Azure AI Search'), leading them to choose Option D instead of A.
Trap categories for this question
Keyword trap
Sentiment Analysis evaluates sentiment, not key phrases.
Detailed technical explanation
The Key Phrase Extraction skill in Azure AI Search uses a machine learning model trained on large corpora to identify non-trivial phrases that are statistically significant within the document. It works by analyzing term frequency, co-occurrence patterns, and part-of-speech tagging to return phrases like 'cloud computing' or 'machine learning model' rather than single words. This skill supports multiple languages via the Text Analytics API, which uses language-specific models to ensure accurate extraction across the document set.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implement knowledge mining and document intelligence solutions — study guide chapter
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FAQ
Implement knowledge mining and document intelligence solutions — This question tests Implement knowledge mining and document intelligence solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Key Phrase Extraction skill — The Key Phrase Extraction skill is the correct choice because it is specifically designed to identify and extract the most important phrases from text, which directly supports the requirement to extract key phrases from documents. Azure AI Search's built-in Key Phrase Extraction skill leverages natural language processing to analyze text and return a list of key phrases, making it the appropriate skill for this knowledge mining solution.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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.
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