Describe features of Natural Language Processing workloads on Azure →mediumMultiple ChoiceObjective-mapped
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
What is the purpose of Azure AI Translator?
⚠ Common exam trap
Test-takers frequently confuse Azure AI Translator with other Azure AI services that handle audio, sentiment, or document extraction, leading candidates to select options that describe related but distinct workloads.
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
✓
To translate text between 100+ languages using neural machine translation
Azure AI Translator is a cloud-based neural machine translation service that translates text between over 100 languages and dialects. It uses deep learning models to produce high-quality, context-aware translations, making option B the correct answer.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To convert spoken audio from one language to written text in another language
Why it's wrong here
Converting spoken audio directly into written text in another language is handled by Azure Speech's speech translation, which first uses speech-to-text to transcribe the audio and then passes the text to Translator for language conversion. The Translator service itself accepts or returns only text, not audio streams. Thus, while Translator may be part of the pipeline, it does not perform audio-to-text conversion.
- ✓
To translate text between 100+ languages using neural machine translation
Why this is correct
Azure AI Translator is a cloud-based service that applies neural machine translation to convert text between over 100 languages. Its real-time REST API supports text-to-text translation with context-aware, fluent output, and it can be integrated into applications. This is precisely the core function of the service, making the option correct.
- ✗
To detect the sentiment of multilingual text
Why it's wrong here
Sentiment detection in Azure is performed by Azure AI Language's text analysis capabilities, which evaluate emotional tone and opinion. Azure AI Translator, in contrast, is a pure language-to-language conversion service; it neither interprets nor scores the emotional content of the input text. Translating text for later sentiment analysis may involve Language, not Translator itself.
- ✗
To extract structured data from multilingual documents
Why it's wrong here
Extracting structured data such as invoice fields, key-value pairs, or tables from documents is the job of Azure AI Document Intelligence (formerly Form Recognizer). Translator only converts text between languages and does not analyze document layout or extract meaningful entities. While you might translate a document first, the actual data extraction still requires Document Intelligence.
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Machine Learning Core Concepts
Key term
Deep learning
Deep learning is a subset of machine learning that uses multi-layered neural networks to automatically learn patterns from large amounts of data.
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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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.