Câu 75: AWS Certified Machine Learning Engineer - Associate MLA-C01
A company is planning to use Amazon SageMaker to make classification ratings that are based on images. The company has 6 ТВ of training data that is stored on an Amazon FSx for NetApp ONTAP system virtual machine (SVM). The SVM is in the same VPC as SageMaker. An ML engineer must make the training data accessible for…
Nội dung câu hỏi
A company is planning to use Amazon SageMaker to make classification ratings that are based on images. The company has 6 ТВ of training data that is stored on an Amazon FSx for NetApp ONTAP system virtual machine (SVM). The SVM is in the same VPC as SageMaker. An ML engineer must make the training data accessible for ML models that are in the SageMaker environment. Which solution will meet these requirements?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Mount the FSx for ONTAP file system as a volume to the SageMaker Instance. — đáp án hiện tại
- B. Create an Amazon S3 bucket. Use Mountpoint for Amazon S3 to link the S3 bucket to the FSx for ONTAP file system.
- C. Create a catalog connection from SageMaker Data Wrangler to the FSx for ONTAP file system.
- D. Create a direct connection from SageMaker Data Wrangler to the FSx for ONTAP file system.
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