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AWS Certified Machine Learning - Specialty

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Topic 1 Question 10
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end- to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS. Which approach should the Specialist use for training a model using that data?
- Write a direct connection to the SQL database within the notebook and pull data in
- Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.
- Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in.
- Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.
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コメント(9)
- Answer is B as the data for a SageMaker notebook needs to be from S3 and option B is the only option that says it. The only thing with option B is that it is talking of moving data from MS SQL Server not RDS
  
  👍 29
  JayK2021/09/24
- I'll go with B
  
  👍 2
  cybe0012021/10/03
- B is right
  
  👍 2
  roytruong2021/10/19
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