Topic 1 Question 182
2 つ選択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?
Use Amazon Redshift ML to generate inventory recommendations.
Use SQL to invoke a remote SageMaker endpoint for prediction.
Use Amazon Redshift ML to schedule regular data exports for offline model training.
Use SageMaker Autopilot to create inventory management dashboards in Amazon Redshift.
Use Amazon Redshift as a file storage system to archive old inventory management reports.
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コメント(2)
- 正解だと思う選択肢: AB
The company wants to make real-time inventory recommendations. Select (A) recommendations. The company also wants to make predictions about future inventory needs. Select (B) prediction.
👍 1emupsx12024/11/29 - 正解だと思う選択肢: AB
A and B Redshift ML for data exports? Nah. SageMaker autopilot is for building/training/deploying models Redshift for file storage?
👍 1MerryLew2025/01/15
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