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AWS Data Pipeline discontinued since 2024
updated 6 months, 2 weeks ago
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Category: MLS – Machine Learning Implementation and Operations
A company uses Amazon DynamoDB to store user-interaction data generated from a website. A Machine Learning Specialist was instructed to use this data in designing a product recommendation system.
Which approach will enable the Specialist to use Amazon SageMaker AI to train a model?
Enable DynamoDB Streams to copy the data into a new table and provide the DynamoDB Stream endpoint within the notebook instance.
* Export the DynamoDB table data into an Amazon S3 bucket using AWS Data Pipeline and provide the S3 path of the data within the notebook instance.
Use AWS DMS to migrate the DynamoDB table data into a MySQL database hosted on Amazon RDS. Provide the new database endpoint within the notebook instance.
Pull the data from the database by configuring a direct connection between the notebook instance and the DynamoDB table.
Reference: https://aws.amazon.com/blogs/big-data/migrate-workloads-from-aws-data-pipeline/
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Hello PKX01,
Thank you for bringing this to our attention.
We will make the necessary updates, which should be reflected on the portal soon.
Best regards,
JR @ Tutorials Dojo
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