- A
Azure AI Language and Azure AI Search
Language provides the required skills; Search indexes the enriched content.
- B
Azure AI Language and a custom skill in Azure Functions
Why wrong: Custom skill is unnecessary; native skills exist.
- C
Azure AI Translator and Azure AI Search
Why wrong: Translator is not needed for key phrases, entities, sentiment.
- D
Azure AI Document Intelligence and Azure AI Search
Why wrong: Document Intelligence extracts text, not performs language analysis.
Question 432 of 993
Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
You are building a knowledge mining solution using Azure AI Search and Azure AI Language. The solution must extract key phrases, entities, and sentiment from customer feedback documents. After processing, the enriched content should be stored in the search index for full-text search. You need to configure the enrichment pipeline. Which two Azure AI services should you integrate?
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 and Azure AI Search
Option A is correct because the solution requires key phrase extraction, entity recognition, and sentiment analysis, which are all capabilities of Azure AI Language. Azure AI Search is the other required service because it provides the search index and the enrichment pipeline (skillset) that invokes the AI Language skills to process documents and store the enriched content for full-text search.
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 Language and Azure AI Search
Why this is correct
Language provides the required skills; Search indexes the enriched content.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Language and a custom skill in Azure Functions
Why it's wrong here
Custom skill is unnecessary; native skills exist.
- ✗
Azure AI Translator and Azure AI Search
Why it's wrong here
Translator is not needed for key phrases, entities, sentiment.
- ✗
Azure AI Document Intelligence and Azure AI Search
Why it's wrong here
Document Intelligence extracts text, not performs language analysis.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure AI Document Intelligence or Azure AI Translator as the source for text analytics, when in fact Azure AI Language is the specific service that provides key phrase, entity, and sentiment extraction as built-in cognitive skills in the search enrichment pipeline.
Trap categories for this question
Keyword trap
Translator is not needed for key phrases, entities, sentiment.
Detailed technical explanation
How to think about this question
In Azure AI Search, the enrichment pipeline is implemented via a skillset that references built-in cognitive skills from Azure AI Language, such as the KeyPhraseExtractionSkill, EntityRecognitionSkill, and SentimentSkill. These skills are invoked during indexer execution, which reads from a data source, applies the skillset, and writes the enriched output to a search index. The integration uses the Cognitive Services multi-service resource key, not individual service endpoints, to authenticate and call the Language APIs.
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
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction 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 and Azure AI Search — Option A is correct because the solution requires key phrase extraction, entity recognition, and sentiment analysis, which are all capabilities of Azure AI Language. Azure AI Search is the other required service because it provides the search index and the enrichment pipeline (skillset) that invokes the AI Language skills to process documents and store the enriched content for full-text search.
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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Last reviewed: Jul 4, 2026
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