Topic 1 Question 687

AWS Certified Solutions Architect - Associate

Topic 1 Question 687
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?

2 つ選択
- Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.
- Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.
- Configure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.
- Configure an AWS Lambda function with a function URL that uses an Amazon Forecast predictor to create a prediction based on the inputs.
- Train an Amazon Forsecast predictor by using the historical data in the S3 bucket.
ユーザの投票
コメント(17)
- 正解だと思う選択肢: AB
  "Amazon Forecast is no longer available to new customers. Existing customers of Amazon Forecast can continue to use the service as normal"
  
  "After careful consideration, we have made the decision to close new customer access to Amazon Forecast, effective July 29, 2024."
  
  This question will either be removed or reformulated to exclude Forecast as the service is no longer available to new customers.
  
  👍 10
  MatAlves2024/09/17
- Explanation:
  
  Training the Model with SageMaker (Option B):
  
  Use Amazon SageMaker to train a machine learning model based on historical data. SageMaker simplifies the process of training, deploying, and managing machine learning models. Creating Predictions with Amazon Forecast (Option D):
  
  Use Amazon Forecast to create a predictor based on historical data. Forecast is designed for time-series forecasting, making it suitable for predicting resources needed for manufacturing processes each month. Combining SageMaker for training and Amazon Forecast for predictions provides a comprehensive solution, and AWS Lambda can be used to integrate these services into your workflow.
  
  👍 5
  betttty2024/02/05
- 正解だと思う選択肢: DE
  Because of these assertions
  
  The company has no machine learning (ML) experience
  
  The comapny wants to use a managed service We could tempted to go for SageMaker that is the core AWS managed service for ML purposes . But, but, if we consider this valuable information:
  
  A company that uses AWS needs a solution to predict the resources needed for manufacturing processes. With a bit research, we will find out that AWS also hold time-series forecasting service based on machine learning (ML). https://aws.amazon.com/forecast/?nc1=h_ls So i understand options DE are the best answers enven thought this service is not mentionned anywhere in current SAA-C03 course version
  👍 5
  bujuman2024/04/26
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