- A
Disable the language parameter so that the API defaults to all languages.
Why wrong: Disabling the language parameter may cause the API to only use English models, missing non-English profanity.
- B
Create separate API calls for each language and specify the language code in the request.
Why wrong: This would require multiple calls and still may not detect all languages correctly if the wrong code is sent.
- C
Set the language parameter to 'auto-detect' in the text moderation API request.
Auto-detect enables Content Moderator to identify the language and apply the correct profanity detection model, supporting multiple languages dynamically.
- D
Add French and Spanish profanity terms to a custom term list and use the list in the API call.
Why wrong: Custom term lists are static and the requirement states terms are dynamic, so this would not capture new profanity.
Quick Answer
The answer is to set the language parameter to 'auto-detect' in the text moderation API request. This is correct because Azure Content Moderator’s built-in language detection automatically identifies the input language—such as French or Spanish—and applies the corresponding native profanity list, eliminating the need for a custom term list while supporting multiple languages dynamically. On the AI-102 exam, this scenario tests your understanding of how the text moderation API handles multi-language content versus relying on a static language parameter like 'eng', which restricts moderation to English-only lists. A common trap is assuming you must create separate custom term lists for each language, but the auto-detect feature leverages Microsoft’s pre-trained models to minimize false positives by matching the moderation model to the detected language. Memory tip: think “auto-detect for polyglot profanity”—let the API do the language mapping for you.
AI-102 Implement content moderation solutions Practice Question
This AI-102 practice question tests your understanding of implement content moderation solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 the AI engineer at a global e-commerce company that allows users to upload product images and descriptions. You use Azure Content Moderator to automatically moderate images for adult and racy content, and text for profanity and personal data. Recently, you noticed that some product descriptions containing profanity in French are not being flagged. Your Content Moderator text moderation API call includes the language parameter set to 'eng'. The profanity list appears to be English-only. You have a requirement to support French and Spanish in addition to English. You also need to ensure that false positives for legitimate product descriptions are minimized. You cannot use a custom term list because the profanity terms are dynamic. 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
Set the language parameter to 'auto-detect' in the text moderation API request.
Option C is correct because setting the language parameter to 'auto-detect' allows the Azure Content Moderator text moderation API to automatically identify the language of the input text and apply the corresponding built-in profanity list (including French and Spanish). This meets the requirement to support multiple languages without using a custom term list, and it minimizes false positives by using the appropriate language-specific moderation model rather than a generic English-only list.
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.
- ✗
Disable the language parameter so that the API defaults to all languages.
Why it's wrong here
Disabling the language parameter may cause the API to only use English models, missing non-English profanity.
- ✗
Create separate API calls for each language and specify the language code in the request.
Why it's wrong here
This would require multiple calls and still may not detect all languages correctly if the wrong code is sent.
- ✓
Set the language parameter to 'auto-detect' in the text moderation API request.
Why this is correct
Auto-detect enables Content Moderator to identify the language and apply the correct profanity detection model, supporting multiple languages dynamically.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Add French and Spanish profanity terms to a custom term list and use the list in the API call.
Why it's wrong here
Custom term lists are static and the requirement states terms are dynamic, so this would not capture new profanity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think disabling the language parameter or creating separate calls will enable multi-language support, but they overlook that the API's default behavior is English-only unless 'auto-detect' is explicitly specified, and that custom term lists are not allowed per the scenario's constraints.
Detailed technical explanation
How to think about this question
The Azure Content Moderator text moderation API uses machine learning classifiers that are language-specific; when the language parameter is set to 'auto-detect', the service first detects the language using a built-in language detection model (similar to Azure Cognitive Services Language Detection) and then applies the appropriate profanity and personal data detection models for that language. This ensures that profanity in French and Spanish is flagged using the service's pre-trained, dynamic lists that are regularly updated, reducing false positives compared to static custom term lists.
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement content moderation solutions — This question tests Implement content moderation solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the language parameter to 'auto-detect' in the text moderation API request. — Option C is correct because setting the language parameter to 'auto-detect' allows the Azure Content Moderator text moderation API to automatically identify the language of the input text and apply the corresponding built-in profanity list (including French and Spanish). This meets the requirement to support multiple languages without using a custom term list, and it minimizes false positives by using the appropriate language-specific moderation model rather than a generic English-only list.
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.
About these practice questions
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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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