AI-102 Practice Question: Implement natural language processing solutions
You are using Azure AI Translator to translate documents from English to French. Some technical terms must remain untranslated. How should you handle this?
⚠ Common exam trap
Test-takers frequently assume post-processing (Option C) is a valid fallback, but Microsoft explicitly tests the built-in dictionary feature as the correct, supported approach for preserving untranslated terms.
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
✓
Provide a dictionary with the terms and their translations set to the same word
Azure AI Translator allows you to provide a custom dictionary where you can map a source term to a target term. By setting the translation to the same word (e.g., 'API' → 'API'), the service will leave that term untranslated while still translating the rest of the document. This is the native, supported mechanism for preserving specific terms without post-processing or custom model training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the includeUntranslated parameter to true
Why it's wrong here
No such parameter exists in Translator API.
- ✗
Train a custom translation model that ignores those terms
Why it's wrong here
Training a custom translation model aims to improve the quality and accuracy of translations for specific domains, teaching the model how to translate particular terminology consistently. It does not inherently provide a mechanism to *prevent* terms from being translated, which is the scenario's requirement. This option is tempting because custom models are used to handle domain-specific language. It would be the correct choice if the goal was to ensure specific technical terms are translated *accurately* and consistently, rather than remaining untranslated.
- ✗
Post-process the output to revert translations of those terms
Why it's wrong here
Manual post-processing is error-prone and inefficient.
- ✓
Provide a dictionary with the terms and their translations set to the same word
Why this is correct
The dictionary allows forcing a specific translation; setting the target same as source prevents translation.
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