AWS Certified Machine Learning Engineer Associate · Free Practice Question Medium
Question 4
A machine learning team is using Amazon SageMaker Experiments to run multiple training jobs with different hyperparameter configurations and feature sets. They want to organize, track, and compare the results to identify the best-performing model. Which of the following components in SageMaker Experiments allows the team to track and compare each individual training run within the experiment?
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A
SageMaker Pipelines
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B
Trials
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C
SageMaker Autopilot
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D
Trial Components
Reveal correct answer
Correct answer: B
A.
SageMaker Pipelines is used to orchestrate and automate machine learning workflows but does not specifically track individual training runs.
B.
In SageMaker Experiments, a trial refers to an individual training run with a specific configuration of hyperparameters, feature sets, or algorithms. Each trial can be tracked and compared to other trials within the same experiment.
C.
SageMaker Autopilot automates the process of selecting algorithms and tuning hyperparameters but is not a core component of SageMaker Experiments.
D.
Trial Components are the stages of each training run (e.g., data preprocessing, model training), but they are part of an individual trial, not the entire training job.
Discussion
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