Amazon MLS-C01 Exam - Topic 5 Question 38 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 38
Topic #: 5

A Machine Learning Specialist has built a model using Amazon SageMaker built-in algorithms and is not getting expected accurate results The Specialist wants to use hyperparameter optimization to increase the model's accuracy

Which method is the MOST repeatable and requires the LEAST amount of effort to achieve this?

ALaunch multiple training jobs in parallel with different hyperparameters

BCreate an AWS Step Functions workflow that monitors the accuracy in Amazon CloudWatch Logs and relaunches the training job with a defined list of hyperparameters

CCreate a hyperparameter tuning job and set the accuracy as an objective metric.

DCreate a random walk in the parameter space to iterate through a range of values that should be used for each individual hyperparameter

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Suggested Answer: B

by Rodolfo at May 09, 2022, 01:48 PM

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5 months ago

I'm not too familiar with RAID devices and the /proc/mdstat file, so this question is a bit challenging for me. I'll have to do some quick research on RAID basics to try to figure out the right answers here.

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