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 is Azure AI Translator's 'custom translator' service?
⚠ Common exam trap
Test-takers frequently confuse 'customizing translation output' (like font or formatting) with 'customizing the translation model itself' (domain-specific training), leading them to pick Option C instead of B.
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
✓
A service for training custom machine translation models on domain-specific parallel texts
Azure AI Translator's 'custom translator' service allows users to build and train custom machine translation models using parallel documents (source-target sentence pairs) specific to a domain, such as legal or medical terminology. This improves translation accuracy for specialized content beyond what the general-purpose neural machine translation engine provides.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A service that hires human translators to manually translate documents
Why it's wrong here
Custom Translator never hires or dispatches human translators; it is an automated machine learning training service. While the parallel documents you provide may originally have been produced by human translators, the service itself uses those documents to train a neural model rather than outsourcing new translation work. Human translation would be a professional, manual process offered by translation agencies, not an Azure AI service feature.
- ✓
A service for training custom machine translation models on domain-specific parallel texts
Why this is correct
Custom Translator is a service within Azure AI Translator that lets you upload parallel texts—aligned source and target sentences—to train a custom neural machine translation model tailored to your domain. It improves translation accuracy for specialized terminology in technical, medical, or legal documents and allows you to evaluate, iterate, and publish the trained model to a private endpoint. This is exactly the correct purpose of Custom Translator.
- ✗
A feature that lets users customize the output language font and formatting
Why it's wrong here
Output font and formatting are presentation-layer concerns that have nothing to do with how translation models learn. Custom Translator focuses purely on improving translation quality by adjusting statistical and neural weights through domain-specific training data. Customizing typography, styling, or output encoding would be handled by the consuming application or Translator's standard output options, not by Custom Translator.
- ✗
A tool for automatically detecting which language content should be translated into
Why it's wrong here
Language detection is an entirely separate Azure AI capability that identifies the source language of a text, not a training service. Custom Translator, by contrast, consumes domain-specific parallel documents (sentence-aligned source-target pairs) to train a specialized neural machine translation model. Confusing the two conflates a classification task with a model-training task, which is why this option is incorrect.
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Related to this question
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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
Azure AI Translator
Azure AI Translator is a cloud-based service that uses neural machine translation to convert text between languages while preserving meaning and context.
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