- A
It refuses to translate and returns an error
Why wrong: Azure AI Translator handles automatic detection gracefully — it detects the language before translating.
- B
It automatically detects the source language and includes it in the translation response
Translator automatically detects the source language from the text and returns the detected language code along with the translation.
- C
It defaults to English as the assumed source language
Why wrong: Translator doesn't assume a default source language — it automatically detects from the actual text content.
- D
It translates the text into every supported language
Why wrong: Translating to all languages would be wasteful — Translator detects source language and translates to the specified target.
Question 345 of 1,020
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
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.
What does the Azure AI Translator's language detection feature do when no source language is specified?
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.
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.
- ✗
It refuses to translate and returns an error
Why it's wrong here
Azure AI Translator handles automatic detection gracefully — it detects the language before translating.
- ✓
It automatically detects the source language and includes it in the translation response
Why this is correct
Translator automatically detects the source language from the text and returns the detected language code along with the translation.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
It defaults to English as the assumed source language
Why it's wrong here
Translator doesn't assume a default source language — it automatically detects from the actual text content.
- ✗
It translates the text into every supported language
Why it's wrong here
Translating to all languages would be wasteful — Translator detects source language and translates to the specified target.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Translator uses a statistical and neural language detection model that analyzes character n-grams and linguistic patterns to identify the language. The detected language is returned in the response as a `detectedLanguage` object with a `language` code (e.g., 'en' for English) and a `score` (confidence value between 0 and 1). This feature is particularly useful in multi-lingual chat applications or document processing pipelines where the source language is unknown.
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-900 question test?
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: 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.
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.
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Last reviewed: Jun 11, 2026
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