Spring Sale Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: ac4s65

An ML engineer is using an Amazon SageMaker Studio notebook to train a neural network...

Amazon Web Services MLA-C01 Full Course Access
Amazon Web Services MLA-C01 View All Questions

An ML engineer is using an Amazon SageMaker Studio notebook to train a neural network by creating an estimator. The estimator runs a Python training script that uses Distributed Data Parallel (DDP) on a single instance that has more than one GPU.

The ML engineer discovers that the training script is underutilizing GPU resources. The ML engineer must identify the point in the training script where resource utilization can be optimized.

Which solution will meet this requirement?

A.

Use Amazon CloudWatch metrics to create a report that describes GPU utilization over time.

B.

Add SageMaker Profiler annotations to the training script. Run the script and generate a report from the results.

C.

Use AWS CloudTrail to create a report that describes GPU utilization and GPU memory utilization over time.

D.

Create a default monitor in Amazon SageMaker Model Monitor and suggest a baseline. Generate a report based on the constraints and statistics the monitor generates.

MLA-C01 PDF/Engine
  • Printable Format
  • Value of Money
  • 100% Pass Assurance
  • Verified Answers
  • Researched by Industry Experts
  • Based on Real Exams Scenarios
  • 100% Real Questions
buy now MLA-C01 pdf
Get 65% Discount on All Products, Use Coupon: "ac4s65"
Next
An ML engineer needs to use an ML model to predict the price of apartments...
An ML engineer is setting up a CI/CD pipeline for an ML workflow in Amazon...
Previous