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After successfully running a training job, what is the final step in the workflow to make the trained model available for future predictions?
Register the model.
Create a new job.
Transform the model.
Delete the compute cluster.
What does the feature importance component in the responsible AI dashboard creation process do?
It configures the overall and feature error rates.
It calculates error distributions.
It initializes the global data for the components.
It provides a better understanding of what features influence the model's predictions.
Why is data imbalance in the test dataset a concern when using machine learning models?
It increases model accuracy.
It makes model evaluation easier.
It might lead to fairness and inclusiveness issues.
It has no impact on model performance.
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