Describe features of Natural Language Processing workloads on Azure →easyMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
What does the Azure AI Translator's language detection feature do when no source language is specified?
⚠ Common exam trap
Watch out — candidates often assume the service defaults to English or fails when no source language is provided, but Azure AI Translator is designed to automatically detect the source language as a built-in convenience feature.
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
✓
It automatically detects the source language and includes it in the translation response
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.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It refuses to translate and returns an error
Why it's wrong here
The Azure AI Translator service is designed to handle a missing source language gracefully, so it does not refuse to translate or return an error for that omission. Auto-detection is a built-in capability, not an optional failure path; the request proceeds normally and returns both the detected language and the requested translations. Errors occur only for issues such as an invalid target language code, an empty 'to' list, or malformed authentication credentials.
- ✓
It automatically detects the source language and includes it in the translation response
Why this is correct
When you call the Translate API without providing a 'from' parameter, Azure AI Translator automatically detects the source language from the text content and includes the result in the response as a 'detectedLanguage' object, containing the ISO 639-1 language code and a confidence score. This allows applications to handle multilingual input without requiring the caller to know the language in advance. The detected language is returned inline with the translation output, not as a separate prerequisite or user action.
- ✗
It defaults to English as the assumed source language
Why it's wrong here
The Translator service never defaults to English when a source language is omitted. Instead, it applies language detection to the actual input text, analyzing character patterns, word frequency, and other statistical features to identify the language. If the input is ambiguous, the API can even return multiple detection candidates with confidence scores, but it does not fall back to English as a presumed default.
- ✗
It translates the text into every supported language
Why it's wrong here
Azure AI Translator does not enumerate every supported language in a single request. When translating, you must specify one or more target languages through the 'to' parameter, and the API returns translations only for those requested targets, up to 10 per call. Auto-detection is used to identify the source language for that translation, not to generate a multilingual dump of the text into every possible language.
Go deeper
Related to this question
Learn chapter
Machine Learning Core Concepts
Key term
Language detection
Language detection is an Azure AI service that automatically identifies the language of a piece of text without manual input.
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.
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