Designing and Implementing an Azure AI Solution (legacy) — Question 47

You are developing an app for a conference provider. The app will use speech-to-text to provide transcription at a conference in English. It will also use the
Translator Text API to translate the transcripts to the language preferred by the conference attendees.
You test the translation features on the app and discover that the translations are fairly poor.
You want to improve the quality of the translations.
Which of the following actions should you take?

Answer options

• A. Use Text Analytics to perform the translations.
• B. Use the Language Understanding (LUIS) API to perform the translations.
• C. Perform the translations by training a custom model using Custom Translator.
• D. Use the Computer Vision API to perform the translations.

Correct answer: C

Explanation

The correct answer is C because training a custom model using Custom Translator allows for tailored translations that can significantly improve accuracy and relevance for specific contexts, such as conference terminology. Options A and B are incorrect because Text Analytics and LUIS are not designed for translation; they serve different purposes such as sentiment analysis and natural language understanding. Option D is also incorrect as the Computer Vision API focuses on image processing rather than text translation.