AI-103 Certification Practice Question #60

Question

You have an application named App1 that uses Azure Speech in Foundry Tools to transcribe live calls.
Transcript segments often contain both English and Spanish. App1 sends each segment to Azure Translator in Foundry Tools to translate to another language.
Sometimes, mixed-language segments result in incomplete or incorrect translations.
You need to reduce translation errors. The solution must ensure that the entire transcript is translated successfully.
What should you do before sending the segments to Translator?

Accepted Answer

Translator (and language detection) assign a single source language per input, returning the predominant language for mixed-language text — so any minority-language words in a mixed English/Spanish segment get mistranslated. Neither auto-detect (C, which returns one language) nor forcing English (D) solves this; document translation (A) still applies one source language to the whole input. The reliable fix is to separate each segment into single-language spans and translate each with its correct source language, ensuring the entire transcript translates correctly. The Suggested Answer matches the documented behavior and the elimination of the other three options; 85% reflects the absence of community votes and that "split into single-language segments" is a derived best practice rather than a named product feature in the docs.

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