A volunteer fire department wrote a burn-ban notice in English and must post the same wording in Spanish and Arabic before the weekend. The notice is already text, not a recording, and the department is not asking for a voice to read it aloud. Which AWS service matches this job?
Select an answer to reveal the explanation.
Short Explanation
Think of handing the same flyer to two translators, not a voice actor and not a court reporter. Amazon Translate turns the English burn-ban text into Spanish and Arabic. Polly would read it aloud, Transcribe wants audio, and a photo-labeler does not write the other languages.
Full Explanation
An English burn-ban notice that must appear as the same wording in Spanish and Arabic is text-to-text language conversion, which Amazon Translate performs. Translate fits because the source is already written text and the goal is equivalent text in other languages before the weekend posting deadline for the volunteer fire department. Amazon Polly would read the English notice aloud as speech and would not produce the required Spanish and Arabic written posts that residents need to read. Amazon Transcribe converts speech audio into text, but the department already has text and is not starting from a recording of the notice. A computer-vision service that labels objects in a still photo of the flyer describes image content such as shapes or logos and does not translate the notice's wording into other languages. The stem rules out voice read-aloud and clarifies the content is already text, which locks the answer on translation. Exam caveat: when the stem says the content is already text and explicitly rejects read-aloud and speech-to-text, choose Translate rather than Polly or Transcribe. Operational check: translate the notice into Spanish and Arabic, have a bilingual reviewer check critical safety phrases, and confirm the posted artifacts are text documents—not audio files or image labels.