MLS-C01 Question #204: Real Exam Question with Answer & Explanation

Question

A machine learning (ML) specialist is using Amazon SageMaker hyperparameter optimization (HPO) to improve a model's accuracy. The learning rate parameter is specified in the following HPO configuration: During the results analysis, the ML specialist determines that most of the training jobs had a learning rate between 0.01 and 0.1. The best result had a learning rate of less than 0.01. Training jobs need to run regularly over a changing dataset. The ML specialist needs to find a tuning mechanism that uses different learning rates more evenly from the provided range between MinValue and MaxValue. Which solution provides the MOST accurate result?

Options

• AModify the HPO configuration as follows:
• BRun three different HPO jobs that use different learning rates form the following intervals
• CModify the HPO configuration as follows:
• DRun three different HPO jobs that use different learning rates form the following intervals