AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 213

A company is gathering audio, video, and text data in various languages. The company needs to use a large language model (LLM) to summarize the gathered data that is in Spanish.
Which solution will meet these requirements in the LEAST amount of time?

Answer options

• A. Train and deploy a model in Amazon SageMaker to convert the data into English text. Train and deploy an LLM in SageMaker to summarize the text.
• B. Use Amazon Transcribe and Amazon Translate to convert the data into English text. Use Amazon Bedrock with the Jurassic model to summarize the text.
• C. Use Amazon Rekognition and Amazon Translate to convert the data into English text. Use Amazon Bedrock with the Anthropic Claude model to summarize the text.
• D. Use Amazon Comprehend and Amazon Translate to convert the data into English text. Use Amazon Bedrock with the Stable Diffusion model to summarize the text.

Correct answer: B

Explanation

Option B is the most efficient solution as it leverages Amazon Transcribe for audio transcription and Amazon Translate for translation, both of which are optimized for speed. The other options involve additional steps or different services that would increase processing time, making them less suitable for quick summarization.