AWS Certified Machine Learning Engineer Associate · Free Practice Question Medium
Question 19
A media company wants to build an automated video transcription and translation pipeline. They need to transcribe speech from videos, translate the text into multiple languages, and create audio versions of the translated text. Which AWS services would fulfill these requirements?
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A
Use AWS Glue for transcription, Amazon Translate for text translation, and AWS Lambda to convert the translated text to speech.
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B
Use Amazon Transcribe to convert speech to text, Amazon SageMaker for text translation, and Amazon Rekognition for speech synthesis.
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C
Use Amazon Rekognition for transcription, AWS Lambda for text translation, and Amazon Polly for speech synthesis.
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D
Use Amazon Transcribe to convert speech to text, Amazon Translate for text translation, and Amazon Polly to convert translated text to speech.
Reveal correct answer
Correct answer: D
A.
AWS Glue is not intended for transcription purposes; it's primarily used for ETL (Extract, Transform, Load) jobs. AWS Lambda can invoke functions but cannot handle speech-to-text or text-to-speech by itself.
B.
While Amazon Transcribe is suitable for speech-to-text conversion, Amazon SageMaker is designed for machine learning tasks, not direct text translation. Amazon Rekognition does not provide speech synthesis capabilities.
C.
Amazon Rekognition is used for image and video analysis but does not handle speech transcription or text translation.
D.
Amazon Transcribe can automatically convert the speech in videos into text. Amazon Translate can then translate the text into different languages, and Amazon Polly can convert the translated text back into speech, forming an automated pipeline for transcription, translation, and audio synthesis.
Discussion
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