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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 182 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 182
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

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.)

  • A. Use Amazon Redshift ML to generate inventory recommendations.
  • B. Use SQL to invoke a remote SageMaker endpoint for prediction.
  • C. Use Amazon Redshift ML to schedule regular data exports for offline model training.
  • D. Use SageMaker Autopilot to create inventory management dashboards in Amazon Redshift.
  • E. Use Amazon Redshift as a file storage system to archive old inventory management reports.
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Suggested Answer: AB 🗳️
by emupsx1 at Nov. 25, 2024, 1:21 p.m.
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MerryLew
3 months, 2 weeks ago
Selected Answer: AB
A and B Redshift ML for data exports? Nah. SageMaker autopilot is for building/training/deploying models Redshift for file storage?
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emupsx1
5 months ago
Selected Answer: 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.
upvoted 1 times
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