A team wants to build and deploy machine learning models on AWS without writing code. Which AWS service or feature enables a no-code ML workflow?
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Correct answer: Amazon SageMaker Canvas.
Why this is the answer
Amazon SageMaker Canvas is the correct choice because it provides a visual, no-code interface for business analysts and data scientists to build, train, and deploy machine learning models. Users can prepare data, build models, and generate predictions without writing a single line of code, making it ideal for a no-code ML workflow. Amazon Rekognition is incorrect because it's a pre-trained computer vision service, not a platform for building custom models without code. AWS DeepRacer is incorrect as it's an autonomous racing car service for learning reinforcement learning, not a general no-code ML platform. Amazon Comprehend is incorrect because it's a natural language processing (NLP) service that provides pre-trained models, similar to Rekognition, rather than a no-code model building environment.
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