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