Exam AWS Certified Machine Learning - Specialty topic 1 question 252 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 252
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A manufacturing company wants to create a machine learning (ML) model to predict when equipment is likely to fail. A data science team already constructed a deep learning model by using TensorFlow and a custom Python script in a local environment. The company wants to use Amazon SageMaker to train the model.

Which TensorFlow estimator configuration will train the model MOST cost-effectively?

A. Turn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a parameter. Pass the script to the estimator in the call to the TensorFlow fit() method.
B. Turn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a parameter. Turn on managed spot training by setting the use_spot_instances parameter to True. Pass the script to the estimator in the call to the TensorFlow fit() method.
C. Adjust the training script to use distributed data parallelism. Specify appropriate values for the distribution parameter. Pass the script to the estimator in the call to the TensorFlow fit() method.
D. Turn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a parameter. Set the MaxWaitTimeInSeconds parameter to be equal to the MaxRuntimeInSeconds parameter. Pass the script to the estimator in the call to the TensorFlow fit() method.

Show Suggested Answer

Suggested Answer: B 🗳️

by Mickey321 at June 9, 2023, 5:38 p.m.

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Comments

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loict

Highly Voted 10 months ago

Selected Answer: B

A. NO - should use Spot instances B. YES - makes use of compiler and spot instances C. NO - that is to minimize training time, not reduced cost D. NO - MaxWaitTimeInSeconds is time to find a free spot instance, it is unrelated to MaxRuntimeInSeconds which is processing time once an istance has been acquired

upvoted 5 times

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Mickey321

Most Recent 10 months, 3 weeks ago

Selected Answer: B

managed spot

upvoted 1 times

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brianb08

1 year ago

Selected Answer: B

B is the only option which mentions spot instances... the question is to be most cost effective, so seems B is only viable option.

upvoted 4 times

kaike_reis

10 months, 4 weeks ago

I go with you

upvoted 1 times

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Mickey321

1 year, 1 month ago

Selected Answer: B

B. Turn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a parameter. Turn on managed spot training by setting the use_spot_instances parameter to True. Pass the script to the estimator in the call to the TensorFlow fit() method.

upvoted 2 times

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