The correct answer is to use the Text Translation skill to translate all content to English during indexing. This approach works because the Text Translation skill, part of Azure AI Search’s skillset, converts multi-language content into a single target language—English—before the index is built, ensuring that only English text is stored and searchable. On the AI-102 exam, this question tests your understanding of how enrichment pipelines process documents: a common trap is confusing the Language Detection skill (which only identifies the language) or the Split skill (which segments text) with the actual translation step. The key distinction is that translation must occur during indexing, not at query time, to enforce English-only search from multi-language content. A useful memory tip is “Translate to Index, not to Query”—remember that the Text Translation skill modifies the content before it enters the search index, making it a one-time transformation rather than a runtime operation.
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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 designing a knowledge mining solution for a manufacturing company that needs to extract information from equipment maintenance manuals. The manuals are in multiple languages (English, French, German). You need to ensure that the extracted content is searchable in English only. Which approach should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the Text Translation skill to translate all content to English during indexing.
Option C is correct because you can use the Text Translation skill to translate content to English during indexing, and then index only the translated text. Option A would not translate. Option B only detects language. Option D uses two skills unnecessarily.
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.
✗
Use the Entity Recognition skill to extract entities and then index entities only.
Why it's wrong here
Entity Recognition does not translate; it extracts named entities.
✗
Use the Language Detection skill to identify language and then index all content as-is.
Why it's wrong here
This would not translate content to English.
✓
Use the Text Translation skill to translate all content to English during indexing.
Why this is correct
Text Translation skill translates documents to a target language, enabling search in English only.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use the Key Phrase Extraction skill to extract key phrases and then index them.
Why it's wrong here
Key Phrase Extraction does not translate; it extracts phrases in the original language.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Keyword trap
Key Phrase Extraction does not translate; it extracts phrases in the original language.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Use the Text Translation skill to translate all content to English during indexing. — Option C is correct because you can use the Text Translation skill to translate content to English during indexing, and then index only the translated text. Option A would not translate. Option B only detects language. Option D uses two skills unnecessarily.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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