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Câu 100: AWS Certified Machine Learning - Specialty (MLS-C01)

A machine learning specialist is running an Amazon SageMaker endpoint using the built-in object detection algorithm on a P3 instance for real-time predictions in a company's production application. When evaluating the model's resource utilization, the specialist notices that the model is using only a fraction of the G…

Nội dung câu hỏi

A machine learning specialist is running an Amazon SageMaker endpoint using the built-in object detection algorithm on a P3 instance for real-time predictions in a company's production application. When evaluating the model's resource utilization, the specialist notices that the model is using only a fraction of the GPU. Which architecture changes would ensure that provisioned resources are being utilized effectively?

Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Redeploy the model as a batch transform job on an M5 instance.
  2. B. Redeploy the model on an M5 instance. Attach Amazon Elastic Inference to the instance. — đáp án hiện tại
  3. C. Redeploy the model on a P3dn instance.
  4. D. Deploy the model onto an Amazon Elastic Container Service (Amazon ECS) cluster using a P3 instance.

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