Quick Answer
The answer is to use the multilingual support in Azure AI Language PII detection, the language detection API, and the multilingual model for mixed-language documents. These three features work together because Azure AI Language’s PII detection natively supports over 20 languages, while the language detection API identifies the primary language of each document to ensure the correct model is applied, and the multilingual model can process documents containing multiple languages in a single text block without requiring separate preprocessing. On the AI-102 exam, this scenario tests your understanding of how to combine Azure AI Language’s built-in multilingual capabilities rather than relying on separate translation services—a common trap is choosing Text Analytics for health or conversation summarization, which are domain-specific and not designed for general PII detection. Remember the mnemonic: “Detect, Detect, Detect” — detect the language, detect PII, and detect mixed-language content with the same multilingual model.
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.
You are designing a solution to detect personally identifiable information (PII) in documents using Azure AI Language. The solution must also handle documents in multiple languages. Which THREE features should you use?
The language detection feature of Azure AI Language.
Can identify the language of the document.
The conversation summarization API.
Why wrong: Not for PII detection.
The PII detection feature of Azure AI Language.
Detects PII in text.
The Text Analytics for health feature.
Why wrong: Focused on medical data.
The multilingual support in Azure AI Language PII detection.
Supports multiple languages.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
The language detection feature of Azure AI Language.
Options A, B, and E are correct because PII detection supports multiple languages, language detection can identify the document language, and the multilingual model can handle mixed-language documents. Option C is wrong because the Text Analytics for health is for medical data, not general PII. Option D is wrong because the conversation summarization API is for summarizing conversations, not detecting PII.
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.
The language detection feature of Azure AI Language.
Why this is correct
Can identify the language of the document.
Related concept
Read the scenario before looking for a memorised answer.
The conversation summarization API.
Why it's wrong here
Not for PII detection.
The PII detection feature of Azure AI Language.
Why this is correct
Detects PII in text.
Related concept
Read the scenario before looking for a memorised answer.
The Text Analytics for health feature.
Why it's wrong here
Focused on medical data.
The multilingual support in Azure AI Language PII detection.
Why this is correct
Supports multiple languages.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
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.
Detailed technical explanation
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.
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 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 natural language processing solutions — study guide chapter
Learn the concepts, then practise the questions
Implement natural language processing solutions practice questions
Targeted practice on this topic area only
All AI-102 questions
988 questions across all exam domains
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-102 questions linked to Implement an agentic solution.
Practise AI-102 questions linked to Implement computer vision solutions.
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Practise AI-102 questions linked to Implement image and video processing solutions.
Practise AI-102 questions linked to Implement natural language processing solutions.
Practise AI-102 questions linked to Implement generative AI solutions.
Practise AI-102 questions linked to Implement agentic AI solutions.
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Practise AI-102 questions linked to Implement content moderation solutions.
Practise AI-102 questions linked to AI-102 fundamentals.
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: The language detection feature of Azure AI Language. — Options A, B, and E are correct because PII detection supports multiple languages, language detection can identify the document language, and the multilingual model can handle mixed-language documents. Option C is wrong because the Text Analytics for health is for medical data, not general PII. Option D is wrong because the conversation summarization API is for summarizing conversations, not detecting PII.
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.
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 →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A healthcare organization needs to redact personally identifiable information (PII) from patient records before using them for research. They have large volumes of unstructured text in multiple languages. Which Azure AI service should they use?
easyWhy B: Option B is correct because Azure AI Language's PII detection feature can identify and redact PII across multiple languages. Option A is wrong because Azure AI Document Intelligence is for extracting information from documents, not specifically for PII redaction. Option C is wrong because Azure AI Translator focuses on translation, not PII detection. Option D is wrong because Azure AI Content Safety focuses on harmful content, not PII.
Last reviewed: Jun 20, 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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.