The answer is Azure AI Language’s language detection feature. This service is correct because it uses prebuilt Natural Language Processing models to analyze text input and return both the identified language name and a confidence score between 0 and 1, where a score closer to 1 indicates higher certainty. On the Microsoft Azure AI Fundamentals AI-900 exam, this question tests your understanding of which specific Azure AI service handles language identification within NLP workloads, often appearing alongside distractors like Translator or Text Analytics. A common trap is confusing Azure AI Language’s language detection with the Translator service, which translates text rather than simply identifying the language. To remember, think of the confidence score as a “certainty meter” that tells you how sure the model is about its guess, and note that language detection always returns both the name and that numeric score.
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.
Which Azure AI service can detect the language of a text input and return the identified language name and confidence score?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure AI Language (language detection)
Azure AI Language's language detection feature is specifically designed to identify the language of a text input, returning both the language name and a confidence score between 0 and 1. This capability is part of the Natural Language Processing (NLP) workloads within Azure AI Language, making option B the correct choice for this task.
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.
✗
Azure AI Vision
Why it's wrong here
Azure AI Vision analyzes images — it doesn't detect the language of text.
✓
Azure AI Language (language detection)
Why this is correct
Azure AI Language's language detection feature identifies the language of text input with a confidence score.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure AI Translator
Why it's wrong here
Azure AI Translator translates text between languages; language detection is a feature of Azure AI Language.
✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence extracts structured data from documents — language detection is in Azure AI Language.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure AI Translator's ability to detect language as a side effect with the dedicated language detection feature in Azure AI Language, which explicitly returns a confidence score and is the correct service for this specific requirement.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Language's language detection uses a deep neural network model trained on a large corpus of multilingual text, supporting over 100 languages. The confidence score is a probability value (0 to 1) indicating the model's certainty; a score below 0.5 may trigger a 'mixed' or 'unknown' result. In real-world scenarios, this is critical for routing customer support tickets to the correct language queue or preprocessing text for downstream NLP tasks like sentiment analysis.
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: Azure AI Language (language detection) — Azure AI Language's language detection feature is specifically designed to identify the language of a text input, returning both the language name and a confidence score between 0 and 1. This capability is part of the Natural Language Processing (NLP) workloads within Azure AI Language, making option B the correct choice for this task.
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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Variation 1. What does Azure AI Language's 'language detection' feature return?
easy
A.Only the language name in English
✓ B.The language name, ISO code, and a confidence score
C.A translated version of the text in English
D.Only a binary yes/no for whether the text is English
Why B: Azure AI Language's language detection feature returns the language name, its ISO 639-1 code, and a confidence score between 0 and 1. This allows applications to identify the language of input text with a quantifiable level of certainty, enabling downstream processing like routing to the correct language-specific model.
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Question Discussion
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