Amazon Exam SAA-C03 Topic 14 Question 16 Discussion

Actual exam question for Amazon's SAA-C03 exam

Question #: 16
Topic #: 14

A company that uses AWS needs a solution to predict the resources needed for manufacturing processes each month. The solution must use historical values that are currently stored in an Amazon S3 bucket The company has no machine learning (ML) experience and wants to use a managed service for the training and predictions.

Which combination of steps will meet these requirements? (Select TWO.)

ADeploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.

BUse Amazon SageMaker to train a model by using the historical data in the S3 bucket.

CConfigure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.

DConfigure an AWS Lambda function with a function URL that uses an Amazon Forecast predictor to create a prediction based on the inputs.

ETrain an Amazon Forecast predictor by using the historical data in the S3 bucket.
Explanation:
To predict the resources needed for manufacturing processes each month using historical values that are currently stored in an Amazon S3 bucket, a solutions architect should use Amazon SageMaker to train a model by using the historical data in the S3 bucket, and deploy an Amazon SageMaker model and create a SageMaker endpoint for inference. Amazon SageMaker is a fully managed service that provides an easy way to build, train, and deploy machine learning (ML) models. The solutions architect can use the built-in algorithms or frameworks provided by SageMaker, or bring their own custom code, to train a model using the historical data in the S3 bucket as input. The trained model can then be deployed to a SageMaker endpoint, which is a scalable and secure web service that can handle requests for predictions from the application. The solutions architect does not need to have any ML experience or manage any infrastructure to use SageMaker.

Show Suggested Answer

Suggested Answer: A

by Willow at Mar 31, 2023, 01:37 AM

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Jody

21 days ago

I bet the company's executives are hoping this AWS thing is as 'managed' as the sales pitch makes it sound. No more late nights training models, am I right?

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Chandra

22 days ago

I'm always a fan of the 'least effort' approach, and SageMaker seems to fit the bill. Now if only they had an 'Autopilot' mode to do everything for me...

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Ruthann

23 days ago

The requirement to use a managed service and lack of ML experience makes SageMaker the obvious choice here. Curious to see how the Amazon Forecast option stacks up though.

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2 months ago

I think we should use Amazon SageMaker to train a model with historical data.

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