Describe features of Natural Language Processing workloads on Azure →easyMultiple ChoiceObjective-mapped
What is Language Detection in Azure AI Language?
What is 'language detection' in Azure AI Language?
Quick Answer
The correct answer is that language detection in Azure AI Language identifies the natural human language of input text and returns a confidence score. This is the right choice because the Azure AI Language service uses pre-trained machine learning models to analyze text and classify it into over 100 languages, outputting a numeric score between 0 and 1 that indicates the probability the detected language is correct. On the Microsoft Azure AI Fundamentals AI-900 exam, this concept tests your understanding of a core, pre-built capability of the Language service—one that requires no custom training data from you. A common trap is confusing language detection with sentiment analysis or key phrase extraction; remember that language detection is always the first step, as the service must know the language before applying other analyses. For a quick memory tip, think of the confidence score as the service’s “certainty meter”—the closer to 1.0, the more confident the model is in its guess.
⚠ Common exam trap
A common mix-up: candidates confuse language detection with translation (Option D) or content moderation (Option C), but the exam specifically tests the distinction between identifying a language and performing an action on it.
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
✓
Identifying the natural human language of input text with a confidence score
Language detection in Azure AI Language identifies the natural human language of input text and returns a confidence score indicating the likelihood of the detected language being correct. This is a core capability of the Language service, using pre-trained machine learning models to classify text into over 100 languages without requiring any training data from the user.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Automatically identifying which programming language a code snippet is written in
Why it's wrong here
Programming language detection is a code analysis feature — language detection in Azure AI Language identifies natural human languages.
- ✓
Identifying the natural human language of input text with a confidence score
Why this is correct
Language detection recognises the language of text (English, French, Arabic, etc.) — enabling automatic routing in multilingual applications.
- ✗
Checking whether text contains any language that violates community guidelines
Why it's wrong here
Policy violation detection is content moderation — language detection identifies which natural language the text is written in.
- ✗
Translating text from any language into the user's preferred language
Why it's wrong here
Translation is Azure AI Translator — language detection only identifies the language, it does not translate it.
Go deeper
Related to this question
Learn chapter
Machine Learning Core Concepts
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
Key term
Confidence score
A confidence score is a number (often between 0 and 1 or 0 and 100%) that tells you how likely it is that an AI model's prediction or answer is correct.
About these practice questions
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Same concept, more angles
1 more way this is tested on AI-900
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. What does the Azure AI Translator's language detection feature do when no source language is specified?
easy- A.It refuses to translate and returns an error
- ✓ B.It automatically detects the source language and includes it in the translation response
- C.It defaults to English as the assumed source language
- D.It translates the text into every supported language
Why B: When no source language is specified in Azure AI Translator, the language detection feature automatically identifies the language of the input text and includes the detected language code in the translation response. This is a core capability of the service, enabling seamless translation without requiring the user to pre-identify the source language.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.