A company builds computer-vision models that use deep learning for the autonomous vehicle industry. A machine learning (ML) specialist uses an Amazon EC2 instance that has a CPU:GPU ratio of 12:1 to train the models.
The ML specialist examines the instance metric logs and notices that the GPU is idle half of the time. The ML specialist must reduce training costs without increasing the duration of the training jobs.
Which solution will meet these requirements?

A. Switch to an instance type that has only CPUs.

B. Use a heterogeneous cluster that has two different instances groups.

C. Use memory-optimized EC2 Spot Instances for the training jobs.

D. Switch to an instance type that has a CPU:GPU ratio of 6:1.








 

Suggested Answer: C

Community Answer: D




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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