The answer is the Language Detection feature within Azure AI Language. This is correct because Language Detection is a prebuilt capability specifically designed to analyze text input and identify its dominant written language, returning both the language name and its ISO 639-1 code. For a multinational corporation routing multilingual support emails, this feature directly maps to the need for automatic language identification without requiring custom models. On the Microsoft Azure AI Fundamentals AI-900 exam, this scenario tests your understanding of the core prebuilt features in Azure AI Language, often appearing alongside questions about sentiment analysis or key phrase extraction as a distractor. A common trap is confusing Language Detection with Translation, but remember: detection identifies the language, while translation converts it. A useful memory tip is to think of Language Detection as the “bouncer” that reads the text’s ID card before letting it into the correct support queue.
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
This AI-900 practice question tests your understanding of describe features of natural language processing workloads on azure. 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.
A multinational corporation receives customer support emails in multiple languages. They need to automatically identify the language of each email so it can be routed to the appropriate support team. Which Azure AI Language feature should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Language detection
Language detection is the correct Azure AI Language feature because it is specifically designed to identify the written language of text input. The multinational corporation's requirement to automatically determine the language of each email for routing directly matches the core functionality of this prebuilt capability, which returns a language name and ISO 639-1 code for each document.
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.
✗
Sentiment analysis
Why it's wrong here
Sentiment analysis determines whether text is positive, negative, or neutral, but it does not identify the language.
✗
Key phrase extraction
Why it's wrong here
Key phrase extraction identifies important words and phrases in the text, but it does not detect the language.
✓
Language detection
Why this is correct
Language detection automatically identifies the language of the input text, making it the correct feature for this routing scenario.
Related concept
Read the scenario before looking for a memorised answer.
✗
Entity recognition
Why it's wrong here
Entity recognition identifies and categorizes named entities like people, places, and organizations, but it does not detect the language.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse language detection with sentiment analysis or key phrase extraction because all three are Natural Language Processing features, but only language detection answers the 'which language?' question directly.
Trap categories for this question
Keyword trap
Key phrase extraction identifies important words and phrases in the text, but it does not detect the language.
Detailed technical explanation
How to think about this question
Under the hood, Azure's language detection uses a deep neural network trained on a large multilingual corpus to classify text into over 120 languages. It can handle mixed-language documents by returning a dominant language and a confidence score (0 to 1). A subtle behavior is that very short text (e.g., fewer than 10 characters) may yield less reliable results, so the service recommends a minimum document length for higher accuracy.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of Natural Language Processing workloads on Azure — This question tests Describe features of Natural Language Processing workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Language detection — Language detection is the correct Azure AI Language feature because it is specifically designed to identify the written language of text input. The multinational corporation's requirement to automatically determine the language of each email for routing directly matches the core functionality of this prebuilt capability, which returns a language name and ISO 639-1 code for each document.
What should I do if I get this AI-900 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
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 →
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 customer support team receives emails in multiple languages. They want to automatically determine the language of each email and then extract key phrases to summarize the issue. Which two Azure AI Language features should they use in sequence?
medium
A.Sentiment analysis and key phrase extraction
✓ B.Language detection and entity extraction
✓ C.Language detection and key phrase extraction
D.Entity extraction and sentiment analysis
Why B: Option C is correct because the scenario requires first identifying the language of each email (using Language Detection) and then extracting key phrases from the text to summarize the issue (using Key Phrase Extraction). These two features are designed to work sequentially in Azure AI Language, where language detection provides the language code needed for key phrase extraction to operate accurately.
Last reviewed: Jun 11, 2026
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.
This AI-900 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-900 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.