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MLA-C01 · Question #79

MLA-C01 Question #79: Real Exam Question with Answer & Explanation

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Deployment and Orchestration of ML Workflows

Question

A company regularly receives new training data from the vendor of an ML model. The vendor delivers cleaned and prepared data to the company's Amazon S3 bucket every 3-4 days. The company has an Amazon SageMaker pipeline to retrain the model. An ML engineer needs to implement a solution to run the pipeline when new data is uploaded to the S3 bucket. Which solution will meet these requirements with the LEAST operational effort?

Options

  • ACreate an S3 Lifecycle rule to transfer the data to the SageMaker training instance and to initiate
  • BCreate an AWS Lambda function that scans the S3 bucket. Program the Lambda function to
  • CCreate an Amazon EventBridge rule that has an event pattern that matches the S3 upload.
  • DUse Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the pipeline

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Topics

#Event-driven architecture#Amazon EventBridge#SageMaker Pipelines#S3
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