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DEA-C01 · Question #192

DEA-C01 Question #192: Real Exam Question with Answer & Explanation

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Data Ingestion and Transformation

Question

A retail company is using an Amazon Redshift cluster to support real-time inventory management. The company has deployed an ML model on a real- time endpoint in Amazon SageMaker. The company wants to make real-time inventory recommendations. The company also wants to make predictions about future inventory needs. Which solutions will meet these requirements? (Choose two.)

Options

  • AUse Amazon Redshift ML to generate inventory recommendations.
  • BUse SQL to invoke a remote SageMaker endpoint for prediction.
  • CUse Amazon Redshift ML to schedule regular data exports for offline model training.
  • DUse SageMaker Autopilot to create inventory management dashboards in Amazon Redshift.
  • EUse Amazon Redshift as a file storage system to archive old inventory management reports.

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Topics

#Redshift ML#SageMaker Integration#Real-time Predictions#Data Warehousing
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