nerdexam
AmazonAmazon

MLA-C01 · Question #78

MLA-C01 Question #78: Real Exam Question with Answer & Explanation

Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #78. The question stem and answer options stay visible for context.

ML Model Development

Question

A company is planning to use Amazon SageMaker to make classification ratings that are based on images. The company has 6 衣 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?

Options

  • AMount the FSx for ONTAP file system as a volume to the SageMaker Instance.
  • BCreate an Amazon S3 bucket. Use Mountpoint for Amazon S3 to link the S3 bucket to the FSx for
  • CCreate a catalog connection from SageMaker Data Wrangler to the FSx for ONTAP file system.
  • DCreate a direct connection from SageMaker Data Wrangler to the FSx for ONTAP file system.

Unlock MLA-C01 to see the answer

You've previewed enough free MLA-C01 questions. Unlock MLA-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.

Topics

#Amazon SageMaker Data Access#FSx for NetApp ONTAP#Training Data Management#VPC Networking
Full MLA-C01 PracticeBrowse All MLA-C01 Questions