- A
Use Azure AI Translator to translate all reviews to English before indexing.
Why wrong: Translation loses original language nuances and is not necessary; Azure AI Search supports multi-lingual indexes.
- B
Use a single field with the 'standard' analyzer for all languages.
Why wrong: The standard analyzer does not handle language-specific features like stemming, reducing recall.
- C
Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').
This allows language-specific stemming and tokenization, and you can search across all fields using searchFields parameter.
- D
Use the 'keyword' analyzer for all fields.
Why wrong: Keyword analyzer treats entire content as one token, not suitable for full-text search.
Quick Answer
The correct approach is to create separate search fields for each language, each configured with its corresponding language analyzer like 'en.microsoft', 'es.microsoft', and 'fr.microsoft'. This works because Azure AI Search applies linguistic processing—such as stemming, lemmatization, and stopword removal—specific to each language at indexing and query time, ensuring that an English query for "amazing" also matches Spanish "increíble" or French "incroyable" when you search across all fields. On the AI-102 exam, this scenario tests your understanding of analyzer assignment versus using a single field with a language-agnostic analyzer like 'standard', which would miss language-specific word forms. A common trap is thinking a single analyzer can handle all languages, but Azure requires per-language fields for accurate linguistic analysis. Remember the memory tip: "One field per tongue, each analyzer strung" to recall that each language gets its own dedicated field and analyzer.
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. 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.
Your organization uses Azure AI Search to index customer product reviews. The reviews are in English, Spanish, and French. You need to enable multi-lingual search so that a query in English returns relevant results from all three languages. What should you do?
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
Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').
Azure AI Search supports multi-lingual search by assigning language-specific analyzers per field. For cross-lingual search, you can use a single field with a language-agnostic analyzer like 'standard' or use multiple fields and query them. The best practice is to use separate fields per language with appropriate analyzers and search across all of them.
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 Azure AI Translator to translate all reviews to English before indexing.
Why it's wrong here
Translation loses original language nuances and is not necessary; Azure AI Search supports multi-lingual indexes.
- ✗
Use a single field with the 'standard' analyzer for all languages.
Why it's wrong here
The standard analyzer does not handle language-specific features like stemming, reducing recall.
- ✓
Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').
Why this is correct
This allows language-specific stemming and tokenization, and you can search across all fields using searchFields parameter.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the 'keyword' analyzer for all fields.
Why it's wrong here
Keyword analyzer treats entire content as one token, not suitable for full-text search.
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
Keyword analyzer treats entire content as one token, not suitable for full-text search.
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.
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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: Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft'). — Azure AI Search supports multi-lingual search by assigning language-specific analyzers per field. For cross-lingual search, you can use a single field with a language-agnostic analyzer like 'standard' or use multiple fields and query them. The best practice is to use separate fields per language with appropriate analyzers and search across all of them.
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.
About these practice questions
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: Jun 20, 2026
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