AWS Certified Data Engineer Associate · Free Practice Question Medium
Question 61
A data engineer needs to build and train a machine learning model using TensorFlow and deploy it for real-time inference with minimal infrastructure management. The engineer wants to take advantage of a fully managed environment to automatically scale resources during model training. Which AWS service should the engineer use?
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A
Amazon SageMaker
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B
AWS Lambda
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C
Amazon EMR
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D
Amazon EC2
Reveal correct answer
Correct answer: A
A.
Amazon SageMaker is a fully managed service that allows data engineers and data scientists to build, train, and deploy machine learning models with support for popular frameworks such as TensorFlow. It automatically manages infrastructure scaling, which simplifies the process of model training and deployment.
B.
AWS Lambda is a serverless compute service designed for running code in response to events and is not intended for training and deploying machine learning models.
C.
Amazon EMR is for big data processing using frameworks like Hadoop and Spark but does not directly handle machine learning model training and deployment.
D.
Amazon EC2 provides virtual servers but requires manual setup and scaling for machine learning tasks.
Discussion
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