A software company's support tickets arrive as typed text in French, German, and Japanese, but its support agents only read English. The company wants an automated step that converts each incoming ticket's text into English before it reaches an agent's queue, preserving the original meaning as closely as possible. Which Azure AI capability fits this need?
Select an answer to reveal the explanation.
Short Explanation
Look closely at the form the tickets already take: they're typed words, not audio and not pictures, just text in a language the agents can't read. That narrows things down fast to the capability that takes text in one language and produces the same meaning in another language. Turning speech into text doesn't apply here because there's no audio to begin with, the ticket is already written down. Pulling out the important phrases from a document is useful for summarizing, but it leaves those phrases in the original language, so the English-only agent still can't read them. And sorting images into categories has nothing to do with translating written support requests. What the company needs is a straightforward language-to-language conversion of existing text, nothing more.
Full Explanation
The correct answer is C. Text translation converts written text from one language into another while preserving meaning, which is precisely what is needed to turn French, German, and Japanese tickets into English before an agent reads them. Option A is incorrect because speech-to-text transcription converts spoken audio into written text, but the tickets already arrive as typed text, so there is no audio signal to transcribe. Option B is incorrect because key phrase extraction pulls out important terms from a document in its original language but does not convert the language of the text itself, so agents would still be unable to read it. Option D is incorrect because custom image classification categorizes visual content in images, which has no application to translating written support tickets. Because the requirement is converting existing written text from several languages into English, text translation is the correct capability.